Updated on 2025/03/31

写真a

 
URANO Kenta
 
Organization
Graduate School of Engineering Information and Communication Engineering 1 Assistant Professor
Graduate School
Graduate School of Engineering
Undergraduate School
School of Engineering Electrical Engineering, Electronics, and Information Engineering
Title
Assistant Professor

Degree 1

  1. 博士(工学) ( 2021.2   名古屋大学 ) 

Research Areas 2

  1. Informatics / Human interface and interaction

  2. Informatics / Computer system  / サイバーフィジカルシステム

Current Research Project and SDGs 3

  1. 生体信号の可視化

  2. BLE通信を利用した屋内位置推定

  3. 現実空間のスキャニングと経年変化監視

Committee Memberships 1

  1. 情報処理学会UBI研究会   運営委員  

    2023.4   

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    Committee type:Academic society

 

Papers 102

  1. 配布型BLEタグを用いた屋内位置推定手法 Reviewed

    浦野 健太

        2021.2

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    Authorship:Lead author, Corresponding author   Language:Japanese   Publishing type:Doctoral thesis  

  2. ドキドキをセンシングして可視化するLEDライティングデバイス

    浦野 健太, 廣井 慧, 米澤 拓郎, 河口 信夫

    マルチメディア、分散、協調とモバイル DICOMO2020シンポジウム     page: 1616 - 1622   2020.6

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    Authorship:Lead author, Corresponding author   Language:Japanese   Publishing type:Research paper (conference, symposium, etc.)  

  3. Fixture-aware Panoramic Ceiling Image Synthesis Using an Omnidirectional Camera

    Kohama Daiki, Nagata Yoshiteru, Yasutake Kazushige, Katayama Shin, Urano Kenta, Yonezawa Takuro, Kawaguchi Nobuo

    Journal of Information Processing   Vol. 33 ( 0 ) page: 245 - 258   2025.3

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    Language:English   Publisher:Information Processing Society of Japan  

    <p>The manual creation of a ceiling plan consumes many human resources to confirm the current state of existing buildings for renovation. Identifying the positions and the types of existing fixtures is crucial for drawing a ceiling plan. Therefore, to assist in drawing a ceiling plan, an efficient method that generates a reliable photorealistic whole ceiling surface image is essential. We present a method of fixture-aware panoramic ceiling image synthesis using an omnidirectional camera. A fixture-aware panoramic ceiling image is a photorealistic image that depicts the whole ceiling surface and no seams on ceiling fixtures for its reliability regarding assistance in drawing a ceiling plan. The proposed method is remarkably effortless because it requires the users to work only 2 procedures for synthesizing the image, 1) shooting an omnidirectional video underneath the ceiling and 2) fixture measurement in the image. In the experiment, we evaluated the resulting image for the positional and shape accuracy of the ceiling fixtures and the time efficiency of the measurement. Our proposed method demonstrated a positional accuracy of 2.25 times higher, a shape accuracy of 5.87 times higher, and a time efficiency of the measurement 11.09 times higher than the baseline.</p>

    DOI: 10.2197/ipsjjip.33.245

    CiNii Research

  4. VR180 遠隔ロボットアームシステムにおける操作支援のための情報提示手法の検討

    筒井秀斗, 渡邉企章, 宇佐美龍斗, 具志祐希, 渡辺圭貴, 林田望海, 志村魁哉, 浦野健太, 米澤拓郎, 河口信夫

    第85回UBI研究会     2025.2

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    Language:Japanese   Publishing type:Research paper (conference, symposium, etc.)   Publisher:一般社団法人 情報処理学会  

  5. Efficient Edge AI based Annotation and Detection Framework for Logistics Warehouses Reviewed International journal

    Yuki Mori, Yusuke Asai, Keisuke Higashiura, Shin Katayama, Kenta Urano, Takuro Yonezawa, Nobuo Kawaguchi

    IEEE Consumer Communications & Networking Conference 2025     2025.1

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    Language:English   Publishing type:Research paper (international conference proceedings)   Publisher:IEEE ComSoc  

  6. Time-series Stay Frequency for Multi-City Next Location Prediction using Multiple BERTs

    Terashima H., Takagi S., Tamura N., Shoji K., Hossain T., Katayama S., Urano K., Yonezawa T., Kawaguchi N.

    2nd ACM SIGSPATIAL International Workshop on the Human Mobility Prediction Challenge, HuMob-Challenge 2024     page: 5 - 9   2024.12

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    Publisher:2nd ACM SIGSPATIAL International Workshop on the Human Mobility Prediction Challenge, HuMob-Challenge 2024  

    Human Mobility Prediction Challenge 2024 was organized to compare human future movement prediction methods using a unified dataset. The challenge focuses on human movement prediction in multiple cities with varying numbers of users. Many existing movement prediction methods train deep learning models using large-scale movement histories from cities and make predictions. While cities with large users have sufficient training data, smaller cities with fewer users may face challenges due to insufficient data, raising concerns about lower prediction accuracy. Additionally, it is difficult to treat stay locations between different cities’ movement histories due to differences in spatial area arrangement, making it challenging to share data across cities. To address this issue, we propose human movement prediction method that utilizes time-series stay frequency patterns, which can be commonly applied across different cities. This method demonstrated superiority in predicting movements in cities with fewer users compared to models trained and predicted using only the movement histories of the target city. Furthermore, the method achieved top 10 prediction accuracy in HuMob Challenge 2024.

    DOI: 10.1145/3681771.3699909

    Scopus

  7. Additive Compositionality in Urban Area Embeddings Based on Human Mobility Patterns

    Tamura N., Terashima H., Shoji K., Katayama S., Urano K., Yonezawa T., Kawaguchi N.

    32nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL 2024     page: 577 - 580   2024.11

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    Publisher:32nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL 2024  

    Understanding the characteristics of various urban areas is crucial for applications such as urban planning, tourism policies, market analysis, and infection control. Techniques for embedding areas as vectors in a latent space based on human mobility patterns are actively researched. Many of these area embedding methods define areas as points, grids, or polygons on a geospatial plane and then embed them. However, existing methods do not allow for mutual transformation between these forms and sizes after the initial embedding. Additionally, if the characteristics of an area change due to events such as the opening of new buildings, re-embedding is necessary. Meanwhile, the Word2Vec technique, a representative word embedding method, has a property called additive compositionality. This property allows for the arithmetic operation of word meanings through the arithmetic operations of word embeddings. In this paper, we propose a method to apply this property to existing area embedding techniques, leveraging it for practical tasks such as area shape transformation and searching for areas with trends change.

    DOI: 10.1145/3678717.3691279

    Scopus

  8. Unveiling Human Attributes through Life Pattern Clustering using GPS Data Only

    Shoji K., Terashima H., Tamura N., Katayama S., Urano K., Yonezawa T., Kawaguchi N.

    32nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL 2024     page: 621 - 624   2024.11

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    Publisher:32nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL 2024  

    Clustering people by their life patterns is valuable in government and business fields. Existing studies often rely on semantic data such as Point of Interest or stay purpose. However, they have the problem that obtaining large datasets is difficult due to the need for annotation work. Some studies try to use only location data. However, they do not reveal the semantics of the area where visitors stay because they only label visited areas by significance according to duration and frequency of stay. In this paper, we propose a framework, LPSeL, for clustering people’s Life Patterns at a Semantic Level using only raw GPS location data. LPSeL is based on the idea that analyzing human mobility first requires understanding urban space. Therefore, it begins with area modeling, which models areas in a city based on people’s activities. Then, treating human mobility as a sequence of area representations makes it possible to model individuals by semantic-level characteristics of their life patterns. We showed that LPSeL is capable of estimating people’s attributes from their life patterns using a real-world dataset consisting of GPS data collected from tens of thousands of smartphone users.

    DOI: 10.1145/3678717.3691309

    Scopus

  9. 時系列滞在頻度傾向と移動傾向を組み合わせた移動先予測手法

    寺島青, 髙木峻, 田村直樹, 庄子和之, Tahera Hossain, 片山晋, 浦野健太, 米澤拓郎, 河口信夫

    第84回UBI研究会     2024.11

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    Language:Japanese   Publishing type:Research paper (conference, symposium, etc.)   Publisher:一般社団法人 情報処理学会  

  10. 共通潜在空間を介した多様な都市データのクロスモーダル分析手法

    田村直樹, 寺島青, 庄子和之, 片山晋, 浦野健太, 米澤拓郎, 河口信夫

    第84回UBI研究会     2024.11

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    Language:Japanese   Publishing type:Research paper (conference, symposium, etc.)   Publisher:一般社団法人 情報処理学会  

  11. EngagedSync : MR 共有空間内ユーザの相互状況理解向上 のための適応的な周辺環境情報抽出・転送システム

    志村魁哉, 加納一馬, Tahera Hossain, 片山晋, 浦野健太, 米澤拓郎, 河口信夫

    第84回UBI研究会     2024.11

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    Language:Japanese   Publishing type:Research paper (conference, symposium, etc.)   Publisher:一般社団法人 情報処理学会  

  12. 自律移動ロボットを用いた人流計測のための探索経路生成 Reviewed

    下里 浩昇, 片山 晋, 浦野 健太, 米澤 拓郎, 河口 信夫

    情報処理学会論文誌   Vol. 65 ( 10 ) page: 1511 - 1522   2024.10

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    Language:Japanese   Publishing type:Research paper (scientific journal)   Publisher:一般社団法人 情報処理学会  

    DOI: 10.20729/00239895

  13. Enhancing Group Telepresence Interaction through Seamless Inverse Panorama Projection on Spherical Display

    Hayashida, N; Katayama, S; Urano, K; Yonezawa, T; Kawaguchi, N

    COMPANION OF THE 2024 ACM INTERNATIONAL JOINT CONFERENCE ON PERVASIVE AND UBIQUITOUS COMPUTING, UBICOMP COMPANION 2024     page: 286 - 289   2024.10

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    Publisher:UbiComp Companion 2024 - Companion of the 2024 ACM International Joint Conference on Pervasive and Ubiquitous Computing  

    In recent years, advancements in telepresence technology have made remote communication and collaboration easier. MetaPo is a system that uses spherical displays to seamlessly integrate physical and digital interactions. However, conventional inverse panorama techniques face challenges such as image seams, coverage issues, and overlapping displays. To address these challenges, this study proposes an inverse panorama technique based on coordinate transformation, enhancing visual continuity and user experience. Additionally, evaluation methods necessary to demonstrate the effectiveness of the proposed method in improving the quality of remote communication have been devised. This research provides a novel solution to challenges in spherical display technology and paves the way for more immersive telepresence experiences.

    DOI: 10.1145/3675094.3678369

    Web of Science

    Scopus

  14. Composite Image Generation Using Labeled Segments for Pattern-Rich Dataset without Unannotated Target

    Kano, K; Mori, Y; Higashiura, K; Hossain, T; Katayama, S; Urano, K; Yonezawa, T; Kawaguchi, N

    COMPANION OF THE 2024 ACM INTERNATIONAL JOINT CONFERENCE ON PERVASIVE AND UBIQUITOUS COMPUTING, UBICOMP COMPANION 2024     page: 507 - 512   2024.10

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    Publisher:UbiComp Companion 2024 - Companion of the 2024 ACM International Joint Conference on Pervasive and Ubiquitous Computing  

    Although object detection technology using cameras offers potential for various applications, it incurs dataset creation costs to train new models where general-purpose models are ineffective, such as in industrial settings. We have previously developed a semi-automated annotation framework that employs optical flow and representation learning techniques to reduce human effort significantly. However, it was likely to cause unintended annotation omissions and mistakes compared to manual annotation. In this study, we propose a composite image generation approach to create omission-free and pattern-rich datasets. The proposed method synthesizes natural-looking images without unannotated targets by placing labeled foreground segments at their original positions on targetless background frames collected with the same fixed-point cameras. Evaluation with video footage in a logistics warehouse confirmed that improved dataset reliability led to higher model performance.

    DOI: 10.1145/3675094.3678447

    Web of Science

    Scopus

  15. Demonstration:Remote 3D Scanning with VR and Robotic Arm

    Usami, R; Watanabe, K; Gushi, Y; Tsutsui, S; Watanabe, Y; Kano, K; Aikawa, Y; Shimura, K; Hayashida, N; Urano, K; Yonezawa, T; Kawaguchi, N

    COMPANION OF THE 2024 ACM INTERNATIONAL JOINT CONFERENCE ON PERVASIVE AND UBIQUITOUS COMPUTING, UBICOMP COMPANION 2024     page: 201 - 204   2024.10

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    Publisher:UbiComp Companion 2024 - Companion of the 2024 ACM International Joint Conference on Pervasive and Ubiquitous Computing  

    Although VR headsets have gained widespread acceptance, their potential for real-world actuation remains underexplored. We propose a system that allows to work in VR space using a robotic arm and VR headset, focusing on 3D scanning as the task. The robotic arm is equipped with an RGB-D camera to achieve remote 3D scanning. This system enables immersive remote work and enhances the link between real space and VR space by reproducing the real objects into the VR space.

    DOI: 10.1145/3675094.3677548

    Web of Science

    Scopus

  16. 12th International Workshop on Human Activity Sensing Corpus and Applications (HASCA) Open Access

    Murao, K; Enokibori, Y; Gjoreski, H; Lago, P; Okita, T; Siirtola, P; Hiroi, K; Scholl, PM; Ciliberto, M; Urano, K; Bock, M

    COMPANION OF THE 2024 ACM INTERNATIONAL JOINT CONFERENCE ON PERVASIVE AND UBIQUITOUS COMPUTING, UBICOMP COMPANION 2024     page: 956 - 959   2024.10

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    Publisher:UbiComp Companion 2024 - Companion of the 2024 ACM International Joint Conference on Pervasive and Ubiquitous Computing  

    The recognition of complex and subtle human behaviors from wearable sensors will enable next-generation human-oriented computing in scenarios of high societal value (e.g., dementia care). This will require a large-scale human activity corpus and much-improved methods to recognize activities and the context in which they occur. This workshop deals with the challenges of designing reproducible experimental setups, running large-scale dataset collection campaigns, designing activity and context recognition methods that are robust and adaptive, and evaluating systems in the real world. We wish to reflect on future methods, such as lifelong learning approaches that allow open-ended activity recognition. This year HASCA will welcome papers from participants to the Fifth Sussex-Huawei Locomotion and Transportation Recognition Challenge and the First WEAR Dataset Challenge in special sessions.

    DOI: 10.1145/3675094.3677561

    Web of Science

    Scopus

  17. DiverCityMeter: GPSデータのみを用いた生活パターン多様性から見る COVID-19 の影響分析に関する研究

    庄子和之,寺島青,田村直樹,片山晋,浦野健太,米澤拓郎,河口信夫

    第112回MBL研究会     2024.9

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    Language:Japanese   Publishing type:Research paper (conference, symposium, etc.)   Publisher:一般社団法人 情報処理学会  

  18. スマートフォン・全方位カメラを用いた作業効率化のための半自動天伏図作成システム

    小濱大輝,永田吉輝,安武和成,酒見和幸,片山晋,浦野健太,米澤拓郎,河口信夫

    令和6年度空気調和・衛生工学会大会     2024.9

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    Language:Japanese   Publishing type:Research paper (conference, symposium, etc.)   Publisher:一般社団法人 情報処理学会  

  19. 遠隔MRロボットアーム制御によるスマートな3Dスキャンシステム

    宇佐美龍斗、渡邉企章、具志 祐希、筒井 秀斗、渡辺 圭貴、加納 一馬、相川 雄也、志村 魁哉、林田 望海、浦野 健太、米澤 拓郎、河口 信夫

    第29回日本バーチャルリアリティ学会大会     2024.9

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    Language:Japanese   Publishing type:Research paper (conference, symposium, etc.)   Publisher:一般社団法人 情報処理学会  

  20. 3次元点群解析に基づくロボット移動可能領域の半自動認識手法

    相川雄也,片山晋,浦野健太,米澤拓郎,河口信夫

    第42回日本ロボット学会学術講演会(RSJ2024)     2024.9

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    Language:Japanese   Publishing type:Research paper (conference, symposium, etc.)   Publisher:一般社団法人 情報処理学会  

  21. Autoware-in-Forest: 森林環境における丸太運搬フォワーダの自動走行

    浦野 健太, 米澤 拓郎, 河口 信夫

    第42回日本ロボット学会学術講演会(RSJ2024)     2024.9

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    Authorship:Lead author   Language:Japanese   Publishing type:Research paper (conference, symposium, etc.)   Publisher:一般社団法人 情報処理学会  

  22. 物流倉庫におけるスマートフォンを用いた作業者のタスク認識

    渡邊 企章,加納 一馬,片山 晋,浦野 健太,米澤 拓郎,河口 信夫

    電気・電子・情報関係学会 東海支部連合大会     2024.8

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    Language:Japanese   Publishing type:Research paper (conference, symposium, etc.)   Publisher:一般社団法人 情報処理学会  

  23. エッジ音声処理とCAN通信を用いた 多数接続可能な発話方向推定システム

    市川 直人,加納 一馬,永田 吉輝,片山 晋, 浦野 健太,米澤 拓郎,河口 信夫

    電気・電子・情報関係学会 東海支部連合大会     2024.8

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    Language:Japanese   Publishing type:Research paper (conference, symposium, etc.)   Publisher:一般社団法人 情報処理学会  

  24. マルチカメラによるオクルージョン回避を用いた荷物置き場の占有状況検出

    具志 祐希,加納 一馬,片山 晋,浦野 健太, 米澤 拓郎, 河口 信夫

    電気・電子・情報関係学会 東海支部連合大会     2024.8

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    Language:Japanese   Publishing type:Research paper (conference, symposium, etc.)   Publisher:一般社団法人 情報処理学会  

  25. 天伏図自動復元のための設備位置・形状アライメント手法

    小濱大輝,永田吉輝,安武和成,片山晋,浦野健太,米澤拓郎,河口信夫

    第42回電気設備学会全国大会     2024.8

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    Language:Japanese   Publishing type:Research paper (conference, symposium, etc.)   Publisher:一般社団法人 情報処理学会  

  26. アノテーションロスを克服するラベル付き画像セグメントの合成によるデータ拡張

    加納 一馬,森 裕輝,東浦 圭亮,Tahera HOSSAIN,片山 晋,浦野 健太,米澤 拓郎,河口 信夫

    画像電子学会年次大会(MCC2024)     2024.8

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    Language:Japanese   Publishing type:Research paper (conference, symposium, etc.)   Publisher:一般社団法人 情報処理学会  

  27. NSP-BERT:滞在時間を考慮に入れた効率的なNext Stay予測手法 Reviewed

    寺島 青, 田村 直樹, 庄子 和之, 片山 晋, 浦野 健太, 米澤 拓郎, 河口 信夫

    マルチメディア,分散,協調とモバイル(DICOMO2024)シンポジウム     page: 1531 - 1537   2024.6

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    Language:Japanese   Publishing type:Research paper (conference, symposium, etc.)   Publisher:一般社団法人 情報処理学会  

  28. エッジAI向け物体検出モデル作成におけるアノテーション効率化手法 Reviewed

    森 裕輝, 浅井 悠佑, 東浦 圭亮, 片山 晋, 浦野 健太, 米澤 拓郎, 河口 信夫

    マルチメディア,分散,協調とモバイル(DICOMO2024)シンポジウム     page: 292 - 301   2024.6

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    Language:Japanese   Publishing type:Research paper (conference, symposium, etc.)   Publisher:一般社団法人 情報処理学会  

  29. スマートフォンを用いた歩行者自律航法のための水平加速度に基づいた歩き方の違いに頑健な進行方向推定 Reviewed

    加納一馬,吉田拓人,浦野健太,米澤拓郎,河口信夫

    情報処理学会論文誌   Vol. 65 ( 6 ) page: 1001 - 1017   2024.6

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    Language:Japanese   Publishing type:Research paper (scientific journal)   Publisher:一般社団法人 情報処理学会  

    DOI: 10.20729/00234831

  30. 効率と安全を考慮したコストマップを用いた人と協調する倉庫内配送ロボットナビゲーション Reviewed

    浅井 悠佑, 片山 晋, 浦野 健太, 米澤 拓郎, 河口 信夫

    情報処理学会論文誌   Vol. 65 ( 6 ) page: 1033 - 1048   2024.6

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    Language:Japanese   Publishing type:Research paper (scientific journal)   Publisher:一般社団法人 情報処理学会  

    DOI: 10.20729/00234833

  31. プライバシフリーな通過情報を用いた大規模施設における移動経路推定手法 Reviewed

    永田 吉輝, 浦野 健太, 米澤 拓郎, 河口 信夫

    情報処理学会論文誌   Vol. 65 ( 6 ) page: 1018 - 1032   2024.6

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    Language:Japanese   Publishing type:Research paper (scientific journal)   Publisher:一般社団法人 情報処理学会  

    DOI: 10.20729/00234832

  32. Demo: Assisting System for Creating Ceiling Plan Using a Video from a Smatrphone Open Access

    Kohama, D; Nagata, Y; Yasutake, K; Katayama, S; Urano, K; Yonezawa, T; Kawaguchi, N

    PROCEEDINGS OF THE 2024 THE 22ND ANNUAL INTERNATIONAL CONFERENCE ON MOBILE SYSTEMS, APPLICATIONS AND SERVICES, MOBISYS 2024     page: 620 - 621   2024.6

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    Publisher:MOBISYS 2024 - Proceedings of the 2024 22nd Annual International Conference on Mobile Systems, Applications and Services  

    We present an assisting system for creating a ceiling plan. Conventional methods of creating a ceiling plan are time-consuming and high-cost. Our system requires only two inputs from a user and outputs the panoramic ceiling image that shows the whole ceiling surface. The system detects the ceiling fixtures and depicts them seamlessly for a reliable resulting image. We confirmed the possibility of assisting in creating a ceiling plan with our system through the experiment.

    DOI: 10.1145/3643832.3661847

    Web of Science

    Scopus

  33. Poster: Sustainable Data Management Flow for Spatio-Temporal Datasets Open Access

    Nagata, Y; Kohama, D; Watanabe, Y; Katayama, S; Urano, K; Yonezawa, T; Kawaguchi, N

    PROCEEDINGS OF THE 2024 THE 22ND ANNUAL INTERNATIONAL CONFERENCE ON MOBILE SYSTEMS, APPLICATIONS AND SERVICES, MOBISYS 2024     page: 688 - 689   2024.6

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    Publisher:MOBISYS 2024 - Proceedings of the 2024 22nd Annual International Conference on Mobile Systems, Applications and Services  

    Spatio-temporal data is utilized in various fields, but its scale is continuously growing, leading to significant labor and costs in storage and processing. Therefore, the value that can be derived from spatio-temporal data is diluted due to management costs. We propose a new data management flow using various metadata and common programs for spatio-temporal data utilization. Traditionally, various spatio-temporal data processing have been implemented and processed according to each spatio-temporal data. We defined spatio-temporal data structure metadata and performed data processing based on metadata using a common data processing program. Furthermore, we automated the generation of data structure metadata by combining our data skeleton recognition method and generative AI model. Using this flow, we expect to improve the sustainability of utilizing spatio-temporal data.

    DOI: 10.1145/3643832.3661423

    Web of Science

    Scopus

  34. Balancing Excitement and Environmental Conservation in Information Dissemination for Safari Game Drives

    Shimura, K; Katayama, S; Urano, K; Leleito, E; Yonezawa, T; Kawaguchi, N

    DISTRIBUTED, AMBIENT AND PERVASIVE INTERACTIONS, PT I, DAPI 2024   Vol. 14718   page: 311 - 323   2024.6

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    Publisher:Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)  

    In the context of Kenyan Safari Game Drives, which traditionally rely on visual scouting and intermittent communication, challenges arise regarding the effectiveness of animal detection and environmental conservation. Consequently, animals experience stress, and tourists encounter difficulties in observation due to obstruction by other visitors. Addressing these challenges involves maintaining animal welfare while enhancing tourist satisfaction. To revitalize post-pandemic tourism and enrich safari experiences, this study proposes a wildlife spotting and sharing system. The proposed method integrates wildlife detection and sharing technologies guided by three core principles: preserving encounter serendipity, regulating information access, and promoting environmental conservation. The system architecture incorporates sensors, GPS, and tablet terminals to facilitate real-time data collection, animal identification, and information dissemination. This approach aims to foster an engaging, efficient, and environmentally conscious wildlife spotting and sharing experience, potentially establishing a model for sustainable wildlife tourism in comparable wildlife-rich regions.

    DOI: 10.1007/978-3-031-59988-0_19

    Web of Science

    Scopus

  35. BERTに基づく都市における移動エリア予測手法の提案

    寺島 青, 田村 直樹, 庄子 和之, 片山 晋, 浦野 健太, 米澤 拓郎, 河口 信夫

    第119回MBL研究会     2024.5

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    Language:Japanese   Publishing type:Research paper (conference, symposium, etc.)   Publisher:一般社団法人 情報処理学会  

  36. 量子アニーリングとブラックボックス最適化を用いた倉庫内業務最適化

    髙木 魁利,瀧上 昂希,片山 晋,浦野 健太,米澤 拓郎,河口 信夫

    第82回UBI研究会     2024.5

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    Language:Japanese   Publishing type:Research paper (conference, symposium, etc.)   Publisher:一般社団法人 情報処理学会  

  37. SafariCast:サファリ地域における動物のストレスを考慮した位置情報共有システム

    志村魁哉, 片山晋, 浦野健太, Emanuel Leleito, 米澤拓郎, 河口信夫

    第82回UBI研究会     2024.5

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    Language:Japanese   Publishing type:Research paper (conference, symposium, etc.)   Publisher:一般社団法人 情報処理学会  

  38. Towards a Real-Time and Energy-Efficient Edge AI Camera Architecture in Mega Warehouse Environment

    Asai, Y; Mori, Y; Higashiura, K; Yokoyama, K; Katayama, S; Urano, K; Yonezawa, T; Kawaguchi, N

    2024 IEEE 3RD REAL-TIME AND INTELLIGENT EDGE COMPUTING WORKSHOP, RAGE 2024     page: 12 - 17   2024.5

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    Publisher:Proceedings - 2024 IEEE 3rd Real-Time and Intelligent Edge Computing Workshop, RAGE 2024  

    In response to the exponential growth of e-commerce, our paper addresses the transformation of warehouse operations towards mega warehouses, necessitating advanced digitalization. We focus on the integration and optimization of edge AI technologies to enhance operational efficiency, accuracy, and timeliness in logistic warehouses. We propose a novel edge AI architecture tailored to the processes of warehouse operations ensuring that digitalization aligns with operational workflows. Utilizing a real-world warehouse equipped with over 60 cameras as a testbed, we demonstrate the practical application and benefits of edge computing in logistics. Our experiments have shown significant potential improvements in energy efficiency and timeliness, crucial metrics for the successful integration of edge AI technologies in warehouses.

    DOI: 10.1109/RAGE62451.2024.00010

    Web of Science

    Scopus

  39. Semi-Automated Framework for Digitalizing Multi-Product Warehouses with Large Scale Camera Arrays Reviewed

    Keisuke Higashiura, Kodai Yokoyama, Yusuke Asai, Hironori Shimosato, Kazuma Kano, Shin Katayama, Kenta Urano, Takuro Yonezawa, Nobuo Kawaguchi

    The 22nd IEEE International Conference on Pervasive Computing and Communications (PerCom 2024)     2024.3

  40. 倉庫内業務の量子アニーリングによる最適化とシミュレーションによる評価

    瀧上 昂希, 福島 悠人,浅井 悠佑,片山 晋,浦野 健太,米澤 拓郎,河口 信夫

    第81回UBI研究会     2024.2

  41. 深層学習PDRとBLEビーコンを用いたハイブリッド測位

    加納 一馬,東浦 圭亮,瀧上 昂希,山口 公平,永田 吉輝,片山 晋,浦野 健太,米澤 拓郎,河口 信夫

    HCGシンポジウム 2023     2023.12

  42. Panoramic Ceiling Image Synthesis Method Prioritizing Fixture Outlines Using an Omnidirectional Camera Reviewed

    Daiki Kohama, Yoshiteru Nagata, Kazushige Yasutake, Kenta Urano, Shin Katayama, Takuro Yonezawa, Nobuo Kawaguchi

    The 14th International Conference on Mobile Computing and Ubiquitous Networking (ICMU2023)     2023.12

  43. Digitization and Analysis Framework for Warehouse Truck Berth Reviewed

    Kodai Yokoyama, Shin Katayama, Kenta Urano, Takuro Yonezawa, Nobuo Kawaguchi

    The 14th International Conference on Mobile Computing and Ubiquitous Networking (ICMU2023)     2023.12

  44. Human Mobility Prediction Challenge: Next Location Prediction using Spatiotemporal BERT

    Terashima H., Tamura N., Shoji K., Katayama S., Urano K., Yonezawa T., Kawaguchi N.

    HuMob 2023 - 1st ACM SIGSPATIAL International Workshop on the Human Mobility Prediction Challenge     page: 1 - 6   2023.11

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    Publisher:HuMob 2023 - 1st ACM SIGSPATIAL International Workshop on the Human Mobility Prediction Challenge  

    Understanding, modeling, and predicting human mobility patterns in urban areas has become a crucial task from the perspectives of traffic modeling, disaster risk management, urban planning, and more. HuMob Challenge 2023 aims to predict future movement trajectories based on the past movement trajectories of 100,000 users[1]. Our team, "uclab2023", considered that model design significantly impacts training and prediction times in the task of human mobility trajectory prediction. To address this, we proposed a model based on BERT, commonly used in natural language processing, which allows parallel predictions, thus reducing both training and prediction times.In this challenge, Task 1 involves predicting the 15-day daily mobility trajectories of target users using the movement trajectories of 100,000 users. Task 2 focuses on predicting the 15-day emergency mobility trajectories of target users with data from 25,000 users. Our team achieved accuracy scores of GEOBLEU: 0.3440 and DTW: 29.9633 for Task 1 and GEOBLEU: 0.2239 and DTW: 44.7742 for Task 2[2][3].

    DOI: 10.1145/3615894.3628498

    Scopus

  45. 360 Robot Hand Interaction for Group Telepresence with MetaPo

    Watanabe Y., Hayashida N., Katayama S., Urano K., Yonezawa T., Kawaguchi N.

    ACM International Conference Proceeding Series     page: 183 - 185   2023.11

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    Publisher:ACM International Conference Proceeding Series  

    In this demonstration paper, we present the RHS360, a 360-degree robotic hand system designed to facilitate communication across spatial domains. The RHS360 is capable of providing continuous alignment between the user's position in the cyber space and the robotic hand's position. Furthermore, it allows users in the cyber space to reposition the robotic hand to accommodate their movements within the space. Our system not only enables communication, including gestures, through the use of the robotic hand but also provides essential social cues that are crucial in effective communication.

    DOI: 10.1145/3627050.3630730

    Scopus

  46. 360 Robot Hand System for Omni-directional Interaction by Multiple Users

    Watanabe Y., Hayashida N., Katayama S., Urano K., Yonezawa T., Kawaguchi N.

    ACM International Conference Proceeding Series     page: 295 - 299   2023.11

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    Publisher:ACM International Conference Proceeding Series  

    The rise of diverse digital environments like digital twins and the metaverse emphasizes the importance of telepresence methods for linking users across different spaces. These methods aim to boost communication and services between these spaces. This paper introduces RHS360, a 360-degree robot hand system designed for inter-spatial communication. RHS360 ensures the robot hand aligns precisely with the user in cyberspace, adjusting based on the user's movements in the virtual realm. This enables the robot hand not only to aid communication and gestures but also to convey crucial social cues, enhancing the overall communication experience. Additionally, a user survey was conducted, revealing that observing the robot hand's movements significantly improved understanding their partner's thoughts and fostered a greater sense of intimacy. These findings suggest that the proposed method enhances communication between different spaces.

    DOI: 10.1145/3627050.3631573

    Scopus

  47. Wildlife Spotting and Sharing System for Kenyan Safari Game Drives Reviewed

    Kaiya Shimura, Shin Katayama, Kenta Urano, Emanuel Leleito, Takuro Yonezawa, Nobuo Kawaguchi

    The 13th International Conference on the Internet of Things (IoT 2023)     2023.11

  48. Gait-Robust Heading Estimation Using Horizontal Acceleration for Smartphone-based PDR Reviewed

    Kazuma Kano, Takuto Yoshida, Shin Katayama, Kenta Urano, Takuro Yonezawa, and Nobuo Kawaguchi

    Proceedings of the Work-in-Progress Papers at the 13th International Conference on Indoor Positioning and Indoor Navigation (IPIN-WiP 2023)     2023.9

  49. 天伏図作成補助システムにおける 全方位カメラを用いた天井設備の多視点画像抽出手法

    小濱 大輝, 永田 吉輝, 安武 和成, 浦野 健太, 片山 晋, 米澤 拓郎, 河口 信夫

    2023年(第41回)電気設備学会全国大会     2023.8

  50. 駅ホームの人流センサおよび改札通過情報による電車乗降情報の分析

    浦野 健太,米澤 拓郎,河口 信夫

    第51回可視化情報シンポジウム     2023.8

  51. LiDARの視野を考慮した能動的な人流計測手法の検討

    下里 浩昇,片山 晋,浦野 健太,米澤 拓郎,河口 信夫

    第51回可視化情報シンポジウム     2023.8

  52. Mobility Link XR: Interspace Interaction System in Electric Wheelchair Reviewed

    Nozomi Hayashida, Hironori Shimosato, Kenta Urano, Takuro Yonezawa, and Nobuo Kawaguchi

    25TH INTERNATIONAL CONFERENCE ON HUMAN-COMPUTER INTERACTION (HCII2023)     2023.7

  53. Open-Domain Dialogue Management Framework across Multiple Device for Long-Term Interaction Reviewed

    Shin Katayama, Nozomi Hayashida, Kenta Urano, Takuro Yonezawa, Nobuo Kawaguchi

    25TH INTERNATIONAL CONFERENCE ON HUMAN-COMPUTER INTERACTION (HCII2023)     2023.7

  54. Understanding Regional Characteristics Through EC Data Analysis Reviewed

    Kohei Yamaguchi, Kazuyuki Shoji, Naoki Tamura, Namiki Sakakura, Yuki Matsukura, Yu Hiranaga, Kohei Shimomura, Kenta Urano, Takuro Yonezawa, and Nobuo Kawaguchi

    25TH INTERNATIONAL CONFERENCE ON HUMAN-COMPUTER INTERACTION (HCII2023)     2023.7

  55. 点群データと基盤地図情報を用いた屋外自律移動ロボット向け地図の生成手法 Reviewed

    相川雄也, 浦野 健太, 片山 晋, 米澤 拓郎, 河口 信夫

    マルチメディア,分散,協調とモバイル(DICOMO2023)シンポジウム     2023.7

  56. インスタンスセグメンテーションを用いたトラックバース状況の分析 Reviewed

    横山皓大, 片山 晋, 浦野 健太, 米澤 拓郎, 河口 信夫

    マルチメディア,分散,協調とモバイル(DICOMO2023)シンポジウム     2023.7

  57. 全方位カメラによる設備外形を考慮した天井パノラマ画像合成手法 Reviewed

    小濱 大輝, 永田 吉輝, 安武 和成, 浦野 健太, 片山 晋, 米澤 拓郎, 河口 信夫

    マルチメディア,分散,協調とモバイル(DICOMO2023)シンポジウム     2023.7

  58. 天井設置型の複数マイクと話者の位置情報を用いた発話方向推定手法 Reviewed

    市川 直人, 戸出 悠太 , 片山 晋, 浦野 健太, 米澤 拓郎, 河口 信夫

    マルチメディア,分散,協調とモバイル(DICOMO2023)シンポジウム     2023.7

  59. 複数ユーザによる全方位インタラクションを可能にする360ロボットハンドシステム Reviewed

    渡辺 圭貴,林田 望海,片山 晋,浦野 健太,米澤 拓郎,河口 信夫

    マルチメディア,分散,協調とモバイル(DICOMO2023)シンポジウム     2023.7

  60. 通過情報を活用した移動経路分析・応用手法の評価と応用

    永田 吉輝, 浦野 健太, 米澤 拓郎, 河口 信夫

    第78回UBI研究会     2023.5

  61. 滞在ビッグデータに基づくエリア分散表現の加法構成性の分析と活用

    田村 直樹, 浦野 健太, 米澤 拓郎, 河口 信夫

    第107回MBL研究会     2023.5

  62. 移動ビッグデータを用いた公共空間の価値評価手法

    坂倉 波輝, 米澤 拓郎, 田村 直樹, 永田 吉輝, 庄子 和之, 山口 公平, 浦野 健太, 河口 信夫

    第107回MBL研究会     2023.5

  63. IRIS: Interpretable Rubric-Informed Segmentation for Action Quality Assessment Reviewed

    Hitoshi Matsuyama, Nobuo Kawaguchi, Brian Y. Lim

    28th International Conference on Intelligent User Interfaces (IUI 2023)     2023.3

  64. CrowdFlowTransformer: Capturing Spatio-Temporal Dependence for Forecasting Human Mobility Reviewed

    Tomoki Choya, Naoki Tamura, Shin Katayama, Kenta Urano, Takuro Yonezawa, Nobuo Kawaguchi

    Percom 2023 Workshop UMUM (Ubiquitous and Multi-domain User Modeling)     2023.3

  65. 異種空間間のコミュニケーションを実現するロボット型メタポータルMetaPoにおけるロボットハンド・インタラクション

    渡辺 圭貴, 林田 望海, 浦野 健太, 米澤 拓郎, 河口 信夫

    インタラクション2023     2023.3

  66. 自律ネットワークにつながる自律移動ロボットを用いる映像サービス実現に向けた初期プロトタイプの開発

    髙橋美乃里, 山本秀樹, 岩下将人, 金田悠作, Leon Wong, 浦野健太, 米澤拓郎, 河口信夫

    電子情報通信学会 総合大会     2023.3

  67. Co-ordinated autonomous networks for remote synchronized video services with the autonomous mobility robots - prelude implementation Reviewed

    Hideki Yamamoto, Masato Iwashita, Norio Kondo, Leon Wong, Yusaku Kaneta, Kenta Urano, Takuro Yonezawa, Nobuo Kawaguchi

    International Conference on Artificial Inteligence in Incformation and Communication     2023.2

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    Language:English   Publishing type:Research paper (international conference proceedings)  

    DOI: https://doi.org/10.1109/ICAIIC57133.2023.10067079

  68. Co-ordinated autonomous networks for remote synchronized video services with the autonomous mobility robots - prelude implementation Reviewed

    Hideki Yamamoto, Masato Iwashita, Norio Kondo, Leon Wong, Yusaku Kaneta, Kenta Urano, Takuro Yonezawa, Nobuo Kawaguchi

    The 5th International Conference on Artificial Inteligence in Incformation and Communication     2023.2

  69. A Survey of Ground Truth Measurement Systems for Indoor Positioning Reviewed

    Takuto Yoshida, Katsuhiko Kaji, Satoki Ogiso, Ryosuke Ichikari, Hideaki Uchiyama, Takeshi Kurata, Nobuo Kawaguchi

    Journal of Information Processing     2023.1

  70. 都市を対象とした大規模移動履歴に基づく疑似人流データ生成手法 Reviewed

    田村 直樹, 浦野 健太, 青木 俊介, 米澤 拓郎, 河口 信夫

    情報処理学会論文誌     2023.1

  71. Understanding Regional Characteristics Through EC Data Analysis

    Yamaguchi, K; Shoji, K; Tamura, N; Sakakura, N; Matsukura, Y; Hiranaga, Y; Shimomura, K; Urano, K; Yonezawa, T; Kawaguchi, N

    DISTRIBUTED, AMBIENT AND PERVASIVE INTERACTIONS, DAPI 2023, PT I   Vol. 14036   page: 390 - 404   2023

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    Publisher:Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)  

    The COVID-19 pandemic, which began in 2020, has changed people’s lives, and people are shopping more online. While the analysis of online shopping is becoming increasingly important, regional differences in consumption trends exist. This study proposes a data-driven regional modeling method based on EC purchase data to examine the regional characteristics of online shopping purchase trends. Using the proposed method, we quantified and visualized the degree of similarity of consumption trends among regions and the degree of dispersion of consumption trends within regions using approximately 300,000 lines of online shopping history for 3 years in Japan. As a result, we found that there was some disruption in the early stages of e-commerce for food products by region, while there was little difference in consumption trends among regions for daily necessities. In addition, for consumer durables and clothing, regional differences in consumption trends were confirmed in terms of the number of cars owned per capita, urbanization status, and other regional characteristics.

    DOI: 10.1007/978-3-031-34668-2_26

    Web of Science

    Scopus

  72. Mobility Link XR: Interspace Interaction System in Electric Wheelchair

    Hayashida N., Shimosato H., Urano K., Yonezawa T., Kawaguchi N.

    Communications in Computer and Information Science   Vol. 1833 CCIS   page: 314 - 320   2023

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    Publisher:Communications in Computer and Information Science  

    This research proposes a communication system called Mobility Link XR that connects physical space and cyberspace with mobility. Mobility Link XR is a system that enables remote users to view panoramic video from a 360-degree camera attached to a mobility vehicle in different space by wearing a VR device, and mobility users to view the remote user as an avatar by wearing an MR device. In this way, sharing space in three dimensions using XR enables a higher level of human communication. In this paper, we apply Mobility Link XR to an electric wheelchair and design two types of scenarios: an assistance mode that reproduces the positional relationship of communication in a conventional wheelchair, and a passenger mode that reproduces the positional relationship inside a vehicle, which is said to be a suitable distance for conversation. We also evaluated the reproducibility of communication in the wheelchair and the effectiveness of communication using the avatar. The results showed that the reproducibility of voice and emotion was highly evaluated and that the side-by-side positional relationship enabled higher quality communication as the avatar was more easily seen and felt present.

    DOI: 10.1007/978-3-031-35992-7_43

    Scopus

  73. Open-Domain Dialogue Management Framework Across Multiple Device for Long-Term Interaction

    Katayama, S; Hayashida, N; Urano, K; Yonezawa, T; Kawaguchi, N

    HUMAN-COMPUTER INTERACTION, HCI 2023, PT III   Vol. 14013   page: 354 - 365   2023

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    Publisher:Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)  

    This study explores the feasibility of dialogue systems with individuality capable of providing continuous and lasting assistance via a multiple device dialogue system. A framework has been devised to manage dialogue history, allowing for the use of a singular identity across various interfaces, including chatbots and virtual avatars. This framework can summarize and save the dialogue history, which can be utilized to generate responses. The impact of dialogue history sharing on users’ interactions with a particular character across various devices was assessed for naturalness, continuity, and reliability. The results indicate that dialogue history sharing can foster more natural and continuous conversations, thereby enhancing the potential for long-term support. This research advances the proposition that a digital agent endowed with a consistent identity across multiple devices can provide personalized and sustained support to users.

    DOI: 10.1007/978-3-031-35602-5_25

    Web of Science

    Scopus

  74. Digitization and Analysis Framework for Warehouse Truck Berth

    Yokoyama, K; Katayama, S; Urano, K; Yonezawa, T; Kawaguchi, N

    2023 FOURTEENTH INTERNATIONAL CONFERENCE ON MOBILE COMPUTING AND UBIQUITOUS NETWORK, ICMU     2023

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  75. CrowdFlowTransformer: Capturing Spatio-Temporal Dependence for Forecasting Human Mobility

    Choya T., Tamura N., Katayama S., Urano K., Yonezawa T., Kawaguchi N.

    2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2023     page: 496 - 501   2023

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    Publisher:2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2023  

    Crowd flow forecasting is expected to have a wide range of applications such as human resource allocation, guidance design, marketing, disaster mitigation and congestion prediction for avoiding epidemic such as COVID-19. Crowd flow forecasting is challenging because it requires considering both the task of capturing the temporal dependency of data and capturing the spatial dependence. To address these challenges, in this paper, we propose a mechanism for referencing time-series features that are important for forecasting and incorporating graph convolution into Transformer, and we introduce CrowdFlowTransformer(CF-Transformer), a deep learning model based on Google's Transformer framework captures the Spatio-temporal dependency of time series. CF-Transformer captures the time series dependency by extracting important local time series from the past time series, inputting them to the decoder of Transformer, and encoding critical features into the model's input. We adapted CF-Transformer to a real-world crowd flow dataset. We evaluated it by comparing its forecasting accuracy with conventional models, and the results demonstrate that our model outperforms the conventional models.

    DOI: 10.1109/PerComWorkshops56833.2023.10150301

    Scopus

  76. 11th International Workshop on Human Activity Sensing Corpus and Applications (HASCA) Open Access

    Murao, K; Enokibori, Y; Gjoreski, H; Lago, P; Okita, T; Siirtola, P; Hiroi, K; Scholl, PM; Ciliberto, M; Urano, K

    ADJUNCT PROCEEDINGS OF THE 2023 ACM INTERNATIONAL JOINT CONFERENCE ON PERVASIVE AND UBIQUITOUS COMPUTING & THE 2023 ACM INTERNATIONAL SYMPOSIUM ON WEARABLE COMPUTING, UBICOMP/ISWC 2023 ADJUNCT     page: 773 - 776   2023

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    Publisher:UbiComp/ISWC 2023 Adjunct - Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2023 ACM International Symposium on Wearable Computing  

    The recognition of complex and subtle human behaviors from wearable sensors will enable next-generation human-oriented computing in scenarios of high societal value (e.g., dementia care). This will require a large-scale human activity corpus and much-improved methods to recognize activities and the context in which they occur. This workshop deals with the challenges of designing reproducible experimental setups, running large-scale dataset collection campaigns, designing activity and context recognition methods that are robust and adaptive, and evaluating systems in the real world. We wish to reflect on future methods, such as lifelong learning approaches that allow open-ended activity recognition. This year HASCA will welcome papers from participants to the Fifth Sussex-Huawei Locomotion and Transportation Recognition Challenge in a special session.

    DOI: 10.1145/3594739.3605106

    Web of Science

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  77. Panoramic Ceiling Image Synthesis Method Prioritizing Fixture Outlines using an Omnidirectional Camera

    Kohama, D; Nagata, Y; Yasutake, K; Urano, K; Katayama, S; Yonezawa, T; Kawaguchi, N

    2023 FOURTEENTH INTERNATIONAL CONFERENCE ON MOBILE COMPUTING AND UBIQUITOUS NETWORK, ICMU     2023

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  78. 10th International Workshop on Human Activity Sensing Corpus and Applications (HASCA) Open Access

    Murao K., Enokibori Y., Gjoreski H., Lago P., Okita T., Siirtola P., Hiroi K., Scholl P.M., Ciliberto M., Urano K.

    UbiComp/ISWC 2022 Adjunct - Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2022 ACM International Symposium on Wearable Computers     page: 321 - 323   2022.9

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    Publisher:UbiComp/ISWC 2022 Adjunct - Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2022 ACM International Symposium on Wearable Computers  

    The recognition of complex and subtle human behaviors from wearable sensors will enable next-generation human-oriented computing in scenarios of high societal value (e.g., dementia care). This will require large-scale human activity corpus and much improved methods to recognize activities and the context in which they occur. This workshop deals with the challenges of designing reproducible experimental setups, running large-scale dataset collection campaigns, designing activity and context recognition methods that are robust and adaptive, and evaluating systems in the real world. We wish to reflect on future methods, such as lifelong learning approaches that allow open-ended activity recognition.

    DOI: 10.1145/3544793.3560377

    Scopus

  79. Smartphone Localization with Solar-Powered BLE Beacons in Warehouse Reviewed

    Kazuma Kano, Takuto Yoshida, Nozomi Hayashida, Yusuke Asai, Hitoshi Matsuyama, Shin Katayama, Kenta Urano, Takuro Yonezawa, and Nobuo Kawaguchi

    Distributed, Ambient and Pervasive Interactions. Smart Environments, Ecosystems, and Cities     2022.6

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    Language:English   Publishing type:Research paper (scientific journal)  

    DOI: https://doi.org/10.1007/978-3-031-05463-1_21

  80. Off-line Evaluation of Indoor Positioning Systems in Different Scenarios: The Experiences from IPIN 2020 Competition Reviewed International coauthorship International journal Open Access

    Potorti F., Torres-Sospedra J., Quezada-Gaibor D., Jimenez A.R., Seco F., Perez-Navarro A., Ortiz M., Zhu N., Renaudin V., Ichikari R., Shimomura R., Ohta N., Nagae S., Kurata T., Wei D., Wei D., Wei D., Wei D., Ji X., Zhang W., Kram S., Stahlke M., Mutschler C., Crivello A., Barsocchi P., Girolami M., Palumbo F., Chen R., Wu Y., Li W., Yu Y., Xu S., Huang L., Liu T., Kuang J., Niu X., Yoshida T., Nagata Y., Fukushima Y., Fukatani N., Hayashida N., Asai Y., Urano K., Ge W., Lee N.T., Fang S.H., Jie Y.C., Young S.R., Chien Y.R., Yua C.C., Ma C., Wub B., Zhangc W., Wang Y., Fan Y., Poslad S., Selviah D.R., Wangd W., Yuan H., Yonamoto Y., Yamaguchi M., Kaichi T., Zhou B., Liue X., Gu Z., Yang C., Wu Z., Xie D., Huang C., Zheng L., Peng A., Jin G., Wangh Q., Luo H., Xiong H., Bao L., Zhangi P., Zhao F., Yuj C.A., Hung C.H., Antsfeld L., Chidlovskii B., Jiang H., Xia M., Yan D., Li Y., Dong Y., Silva I., Pendao C., Meneses F., Nicolau M.J., Costa A., Moreira A., De Cock C., Plets D., Opiela M., Dzama J., Zhang L., Li H., Chen B.

    IEEE Sensors Journal   Vol. 22 ( 6 ) page: 5011 - 5054   2022.3

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:IEEE Sensors Journal  

    Every year, for ten years now, the IPIN competition has aimed at evaluating real-world indoor localisation systems by testing them in a realistic environment, with realistic movement, using the EvAAL framework. The competition provided a unique overview of the state-of-the-art of systems, technologies, and methods for indoor positioning and navigation purposes. Through fair comparison of the performance achieved by each system, the competition was able to identify the most promising approaches and to pinpoint the most critical working conditions. In 2020, the competition included 5 diverse off-site off-site Tracks, each resembling real use cases and challenges for indoor positioning. The results in terms of participation and accuracy of the proposed systems have been encouraging. The best performing competitors obtained a third quartile of error of 1m for the Smartphone Track and 0.5m for the Footmounted IMU Track. While not running on physical systems, but only as algorithms, these results represent impressive achievements.

    DOI: 10.1109/JSEN.2021.3083149

    Open Access

    Web of Science

    Scopus

  81. 機械学習による慣性センサを用いた転倒動作検知に関する研究

    東浦圭亮,吉田拓人,加納一馬,瀧上昂希,山口公平,浦野健太,青木俊介,米澤拓郎,河口信夫

    人工知能学会「社会における AI」研究会 第43回研究会     2022.3

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    Language:Japanese   Publishing type:Research paper (conference, symposium, etc.)  

  82. Deep Learning for Handwriting Recognition Using IMU-Equipped Pen

    CHOYA Tomoki, NAGATA Yoshiteru, HIGASHIURA Keisuke, SHIMOSATO Hironori, YAMAGUCHI Kohei, MURAI Daichi, FUKATANI Nobuya, SAKAKURA Namiki, TOIDE Yuta, URANO Kenta, YONEZAWA Takuro, KAWAGUCHI Nobuo

    JSAI Technical Report, SIG-KBS   Vol. 125 ( 0 ) page: 03   2022.3

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    Language:Japanese   Publishing type:Research paper (conference, symposium, etc.)   Publisher:The Japanese Society for Artificial Intelligence  

    DOI: 10.11517/jsaikbs.125.0_03

    CiNii Research

  83. Synthetic People Flow: Privacy-Preserving Mobility Modeling from Large-Scale Location Data in Urban Areas Reviewed International journal

    Tamura, N; Urano, K; Aoki, S; Yonezawa, T; Kawaguchi, N

    MOBILE AND UBIQUITOUS SYSTEMS: COMPUTING, NETWORKING AND SERVICES   Vol. 419   page: 553 - 567   2022

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    Language:English   Publishing type:Research paper (international conference proceedings)   Publisher:Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST  

    Recently, there has been an increasing demand for traffic simulation and congestion prediction for urban planning, especially for infection simulation due to the Covid-19 epidemic. On the other hand, the widespread use of wearable devices has made it possible to collect a large amount of user location history with high accuracy, and it is expected that this data will be used for simulation. However, it is difficult to collect location histories for the entire population of a city, and detailed data that can reproduce trajectories is expensive. In addition, such personal location histories contain private information such as addresses and workplaces, which restricts the use of raw data. This paper proposes Agent2Vec, a mobility modeling model based on unsupervised learning. Using this method, we generate synthetic human flow data without personal information.

    DOI: 10.1007/978-3-030-94822-1_36

    Web of Science

    Scopus

  84. XR Communication System for Remote Control Wheelchairs Reviewed

    Shimosato, H; Hayashida, N; Urano, K; Yonezawa, T; Kawaguchi, N

    PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON THE INTERNET OF THINGS 2022, IOT 2022     page: 219 - 223   2022

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    Language:English   Publishing type:Research paper (international conference proceedings)   Publisher:ACM International Conference Proceeding Series  

    With the introduction of the IoT, communication is becoming more diverse. While IoT is becoming more and more widespread, there are some forms of human communication are being lost. The development of self-propelled robots has progressed, and electric and automated wheelchairs are also being utilized. A caregiver was originally required to operate a wheelchair. However, with the advent of IoT wheelchairs, wheelchairs can be operated by wheelchair users only, increasing convenience. On the other hand, wheelchairs have been used as a kind of communication between caregivers and wheelchair users, and the development of IoT wheelchairs has reduced the opportunities for communication between caregivers and wheelchair users. In this paper, we propose a method to reproduce communication scenarios in the following two scenarios using an IoT wheelchair and present the design and implementation of the prototype created.

    DOI: 10.1145/3567445.3571111

    Web of Science

    Scopus

  85. Smartphone Localization with Solar-Powered BLE Beacons in Warehouse

    Kano, K; Yoshida, T; Hayashida, N; Asai, Y; Matsuyama, H; Katayama, S; Urano, K; Yonezawa, T; Kawaguchi, N

    DISTRIBUTED, AMBIENT AND PERVASIVE INTERACTIONS, SMART ENVIRONMENTS, ECOSYSTEMS, AND CITIES, PT I   Vol. 13325   page: 291 - 310   2022

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    Publisher:Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)  

    Workloads in logistics warehouses have been increasing to meet growing demand, and a labor shortage has become a problem. Utilizing information of laborer locations leads to an increase in productivity. We propose an integrated positioning method using solar-powered Bluetooth Low Energy (BLE) beacons. They are easy to install and maintenance-free since they can work without power sources. However, their advertisement interval depends on illuminance and is unstable. Moreover, there are many obstructions in warehouses, such as shelves and products, which cause signal attenuation, interference, and packet losses. We apply particle filters, map matching, and speed prediction with a neural network model to improve robustness and accuracy. We installed 94 beacons in a logistics warehouse. We evaluated the accuracy and found that our method is more accurate than a baseline method.

    DOI: 10.1007/978-3-031-05463-1_21

    Web of Science

    Scopus

  86. MetaPo: A Robotic Meta Portal for Interspace Communication Reviewed

    Yonezawa, T; Hayashida, N; Przybilla, J; Kyono, Y; Urano, K; Kawaguchi, N

    PROCEEDINGS OF SIGGRAPH 2022 POSTERS, SIGGRAPH 2022     2022

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    Language:English   Publishing type:Research paper (international conference proceedings)   Publisher:Proceedings - SIGGRAPH 2022 Posters  

    We introduce MetaPo, a mobile robot with spheric display, 360° media I/O and robotic hands for creating a unified model of interspace communication. MetaPo works as a portal between pairs of physical-physical, cyber-cyber and cyber-physical spaces to provide 1) panoramic communication for multiple remote users, and 2) immersive interspace migration with mobility functionality. The paper overviews our concept and first prototype of MetaPo with its hardware and software implementation.

    DOI: 10.1145/3532719.3543255

    Web of Science

    Scopus

  87. 3次元LiDARを搭載した自律走行ロボットを用いたWi-Fi電波強度および通信速度測定システム

    盛下 泰暉, 浅井 悠佑, 浦野 健太, 米澤 拓郎, 河口 信夫

    情報処理学会研究報告   Vol. 101 ( 34 ) page: 1 - 6   2021.12

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    Language:Japanese   Publishing type:Research paper (conference, symposium, etc.)  

  88. A data-driven approach for online pre-impact fall detection with wearable devices Reviewed

    Takuto Yoshida, Kazuma Kano, Keisuke Higashiura, Kohei Yamaguchi, Koki Takigami, Kenta Urano, Shunsuke Aoki, Takuro Yonezawa, Nobuo Kawaguchi

    The 3rd International Conference on Activity and Behavior Computing     2021.10

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    Language:English   Publishing type:Research paper (international conference proceedings)  

  89. スマートメータを利用した行動認識のための電気使用量クラスタリングに関する検討

    深谷 暢也,浦野 健太,青木 俊介, 米澤 拓郎, 河口 信夫

    令和3年度 電気・電子・情報関係学会東海支部連合     2021.9

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    Language:Japanese   Publishing type:Research paper (conference, symposium, etc.)  

  90. 大規模公園環境におけるWiFiパケットセンサデータの利活用に関する分析と課題

    村井 大地, 浦野 健太, 青木 俊介, 米澤 拓郎, 河口 信夫

    マルチメディア、分散、協調とモバイル DICOMO2021シンポジウム     2021.7

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    Language:Japanese   Publishing type:Research paper (conference, symposium, etc.)  

  91. 自律移動ロボットのセンサ機器を用いた人流推定手法の提案

    下里 浩昇, 片山 晋, 浦野 健太, 青木 俊介, 米澤 拓郎, 河口 信夫

    マルチメディア、分散、協調とモバイル DICOMO2021シンポジウム     2021.7

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    Language:Japanese   Publishing type:Research paper (conference, symposium, etc.)  

  92. 都市を対象とした大規模移動履歴に基づく疑似人流データ生成手法

    田村 直樹, 浦野 健太, 青木 俊介, 米澤 拓郎, 河口 信夫

    マルチメディア、分散、協調とモバイル DICOMO2021シンポジウム     2021.7

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    Language:Japanese   Publishing type:Research paper (conference, symposium, etc.)  

  93. 加速度の時空間情報を考慮した進行方向推定手法の検討

    吉田 拓人, 浦野 健太, 青木 俊介, 米澤 拓郎, 河口 信夫

    マルチメディア、分散、協調とモバイル DICOMO2021シンポジウム     2021.7

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    Language:Japanese   Publishing type:Research paper (conference, symposium, etc.)  

  94. Transformerモデルを用いた人流の時系列予測

    挺屋 友幹, 片山 晋, 浦野 健太, 青木 俊介, 米澤 拓郎, 河口 信夫

    マルチメディア、分散、協調とモバイル DICOMO2021シンポジウム     2021.7

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    Language:Japanese   Publishing type:Research paper (conference, symposium, etc.)  

  95. 赤外線グリッドセンサを用いた深層学習での人の位置推定手法の検討

    戸出 悠太, 片山 晋, 浦野 健太, 青木 俊介, 米澤 拓郎, 河口 信夫

    マルチメディア、分散、協調とモバイル DICOMO2021シンポジウム     2021.7

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    Language:Japanese   Publishing type:Research paper (conference, symposium, etc.)  

  96. 時空間ルーティングを用いた複数自律移動ロボットの協調走行

    福島 悠人, 浅井 悠佑, 浦野 健太, 青木 俊介, 米澤 拓郎, 河口 信夫

    マルチメディア、分散、協調とモバイル DICOMO2021シンポジウム     2021.7

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    Language:Japanese   Publishing type:Research paper (conference, symposium, etc.)  

  97. IoTに基づく潜在的社会需要の推定と柔軟なサービス需給交換基盤

    永田 吉輝, 村井 大地, 片山 晋, 浦野 健太, 青木 俊介, 米澤 拓郎, 河口 信夫

    マルチメディア、分散、協調とモバイル DICOMO2021シンポジウム     2021.7

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    Language:Japanese   Publishing type:Research paper (conference, symposium, etc.)  

  98. An End-to-End BLE Indoor Localization Method Using LSTM Open Access

    Urano Kenta, Hiroi Kei, Yonezawa Takuro, Kawaguchi Nobuo

    Journal of Information Processing   Vol. 29 ( 0 ) page: 58 - 69   2021

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    Authorship:Lead author   Language:English   Publishing type:Research paper (scientific journal)   Publisher:Information Processing Society of Japan  

    <p>This paper proposes an indoor localization method for Bluetooth Low Energy (BLE) devices using an end-to-end LSTM neural network. We focus on a large-scale indoor space where there is a tough environment for wireless indoor localization due to signal instability. Our proposed method adopts end-to-end localization, which means input is a time-series of signal strength and output is the estimated location at the latest time in the input. The neural network in our proposed method consists of fully-connected and LSTM layers. We use a custom-made loss function with 3 error components: MSE, the direction of travel, and the leap of the estimated location. Considering the difficulty of data collection in a short preparation term, the data generated by a simple signal simulation is used in the training phase, before training with a small amount of real data. As a result, the estimation accuracy achieves an average of 1.92m, using the data collected in GEXPO exhibition in Miraikan, Tokyo. This paper also evaluates the estimation accuracy assuming the troubles in a real operation.</p>

    DOI: 10.2197/ipsjjip.29.58

    Open Access

    Scopus

    CiNii Research

  99. 9th International Workshop on Human Activity Sensing Corpus and Applications (HASCA) Reviewed International coauthorship International journal Open Access

    Murao K., Enokibori Y., Gjoreski H., Lago P., Okita T., Siirtola P., Hiroi K., Scholl P.M., Ciliberto M., Urano K.

    UbiComp/ISWC 2021 - Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers     page: 281 - 284   2021

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    Language:English   Publishing type:Research paper (international conference proceedings)   Publisher:UbiComp/ISWC 2021 - Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers  

    The recognition of complex and subtle human behaviors from wearable sensors will enable next-generation human-oriented computing in scenarios of high societal value (e.g., dementia care). This will require large-scale human activity corpus and much improved methods to recognize activities and the context in which they occur. This workshop deals with the challenges of designing reproducible experimental setups, running large-scale dataset collection campaigns, designing activity and context recognition methods that are robust and adaptive, and evaluating systems in the real world. We wish to reflect on future methods, such as lifelong learning approaches that allow open-ended activity recognition. This year HASCA will welcome papers from participants to the Fourth Sussex-Huawei Locomotion and Transportation Recognition Challenge and the Third Nursing Activity Recognition Challenge in special sessions.

    DOI: 10.1145/3460418.3479266

    Web of Science

    Scopus

  100. Estimating and Leveraging Latent Social Demand Based on IoT sensors: An Empirical Study in a Large Public Park Reviewed International journal

    Nagata Y., Murai D., Katayama S., Urano K., Aoki S., Yonezawa T., Kawaguchi N.

    13th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2021     page: 1 - 8   2021

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    Language:English   Publishing type:Research paper (international conference proceedings)  

    DOI: 10.23919/ICMU50196.2021.9638789

    Scopus

  101. RGNet: Robust Gravity Estimation Neural Network for IMU-based Localization Using Smartphone Reviewed International journal

    Yoshida T., Urano K., Aoki S., Yonezawa T., Kawaguchi N.

    13th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2021     page: 1 - 8   2021

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    Language:English   Publishing type:Research paper (international conference proceedings)  

    DOI: 10.23919/ICMU50196.2021.9638853

    Scopus

  102. 社交ダンスの動作特性を考慮した マルチモーダルセンサによるダンスフィガー認識 Reviewed

    松山 仁, 浦野 健太,廣井 慧, 梶 克彦, 米澤 拓郎, 河口 信夫

    情報処理学会論文誌   Vol. 61 ( 10 ) page: 1591 - 1604   2020.10

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    Language:Japanese   Publishing type:Research paper (scientific journal)   Publisher:一般社団法人 情報処理学会  

    本研究では社交ダンスを対象とし,加速度・角速度,視覚のマルチモーダルセンサを用いたダンスフィガー分類手法を提案する.社交ダンスにおける基本技術であるフィガーは,その種類の多さや複雑さゆえ初心者や中級者にとって練習が困難である.フィガーの自動認識によりユーザは自身の踊りの客観的な把握が可能となるため,ダンスフィガーの学習支援が可能となると考えられる.一方で,社交ダンスは2人1組で多彩な動きを行うため,既存の行動認識手法をそのまま適用することは難しい.本稿では,社交ダンスの動作特性を考慮し,フィガーの複雑さや遮蔽などの課題を解決したダンスフィガー認識手法を実現した.本研究では一般的な行動認識手法をベースライン手法として実装したうえで,社交ダンスの姿勢や動作特性を考慮した特徴量を設計・利用した手法を提案・実現し,両者の評価を行った.結果,提案手法の認識精度はF値0.97となり,ベースライン手法を全体で0.06上回った.特にフィガー別の分類精度では,最大で0.6の精度向上を達成した.さらに提案手法が遮蔽物に対しても頑健さを有することを示した.

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Presentations 2

  1. データサステナビリティのための実世界データ醸造基盤 Invited

    浦野健太

    ICTイノベーションセミナー2022  2023.2.13  総務省東海総合通信局

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    Event date: 2023.2

    Language:Japanese   Presentation type:Public lecture, seminar, tutorial, course, or other speech  

    Venue:ナゴヤイノベーターズガレージ  

  2. WiFiパケットセンサを用いた東山動植物園での人流分析・サービス提供と東山線への拡大

    浦野健太

    計測自動制御学会・スマートセンシングシステム部会  2022.9.10  計測自動制御学会

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    Event date: 2022.9

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:豊橋技術科学大学  

Other research activities 1

  1. 丸太運搬作業の完全自動化に向けた荷役作業自動化技術の開発と自律走行技術の高度化

    2022.6
    -
    2025.3

KAKENHI (Grants-in-Aid for Scientific Research) 1

  1. Road condition recognition for autonomous driving at complex tettain

    Grant number:24K20868  2024.4 - 2027.3

    Grants-in-Aid for Scientific Research  Grant-in-Aid for Early-Career Scientists

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    Authorship:Principal investigator 

    Grant amount:\3120000 ( Direct Cost: \2400000 、 Indirect Cost:\720000 )

 

Teaching Experience (On-campus) 9

  1. 電気電子情報工学実験第2

    2024

  2. 電気電子情報工学実験第2

    2023

  3. 電気電子情報工学実験第1

    2023

  4. Discrete Mathematics with Exercises

    2022

  5. Experiments on Electrical Electronic and Information Engineering 2(

    2022

  6. Experiments on Electrical Electronic and Information Engineering 1

    2022

  7. 離散数学及び演習

    2021

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    計算機科学の基礎数学として,離散数学の基礎概念・基礎知識を学び,演習を通じて身につけることを目的とする.

    集合論,整数論,代数系の基礎的な定義を理解し,種々の問題を解くことができる.

  8. 電気電子情報工学実験第1

    2021

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    電気電子情報工学に関する以下のテーマについて実験・レポートの作成を行う。
    実験を通して、線形回路論、電気回路論、電子回路工学、情報理論、電気磁気学、ディジタル回路に関する確かな知識を獲得するとともに、計画力、応用力、チームワーク能力が養成されることを目的とする。

    C3B8 ディジタル信号処理
    学生は、取り組んだテーマについて理解し、説明ができる。

  9. 電気電子情報工学実験第2

    2021

     詳細を見る

    電気電子情報工学に関する以下のテーマのうち1つについて、実験の計画案、実行、検討、結果の報告発表を行う。それぞれの自主性・独創性を期待する。
    実験を通して、課題探求と問題解決の過程を体験し、そのテーマに関する確かな知識を獲得するとともに、計画力、応用力、チームワーク能力が養成されることを目的とする。

    学生は、取り組んだテーマについて理解し、説明ができる。
    EH15 「実社会データセンシング・分析・可視化」

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Social Contribution 1

  1. 現実空間とVR空間をつなぐ新しい扉、ロボット型メタポータル「MetaPo」

    Role(s):Appearance, Panelist

    名古屋市(事務局)経済局イノベーション推進部次世代産業振興課  Hatch Technology Fes.2022  2022.11 - 2023.11

Media Coverage 1

  1. 本格派 ミニチュア信長像 Newspaper, magazine

    中日新聞  中日新聞  13面  2023.11

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    Author:Other 

Academic Activities 2

  1. マルチメディア、分散、協調とモバイル(DICOMO2024)シンポジウム

    Role(s):Panel moderator, session chair, etc., Review, evaluation, Peer review

    2024.6

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    Type:Competition, symposium, etc. 

  2. 電気・電子・情報関係学会東海支部連合大会

    Role(s):Panel moderator, session chair, etc.

    電気・電子・情報関係学会東海支部  2022.8

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    Type:Academic society, research group, etc.