Faculty Profiles - YONEZAWA Takuro

Papers - YONEZAWA Takuro

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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 Open Access

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

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 Open Access

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

BERTに基づく都市における移動エリア予測手法の提案 Open Access

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

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 Open Access

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

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 Open Access

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

Wildlife Spotting and Sharing System for Kenyan Safari Game Drives Reviewed

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

ACM International Conference Proceeding Series page： 150 - 153 2024.3

Language：Japanese Publishing type：Research paper (scientific journal) Publisher：ACM International Conference Proceeding Series

Traditional wildlife spotting on Kenyan Safari Game Drives, rooted in visual scouting and sporadic communication, encounters challenges in animal detection efficiency and environmental preservation. In light of rejuvenating post-pandemic tourism and enhancing safari experiences, this study proposes a wildlife spotting and sharing system. The methodology melds wildlife detection and sharing technologies, anchored by three core principles: preserving chance of encounters, regulating information accessibility, and endorsing environmental conservation. The system architecture employs sensors, GPS, and tablet terminals for real-Time data acquisition, animal identification, and information propagation. This approach aims to nurture an engaging, efficient, and eco-conscious wildlife spotting and sharing experience, potentially setting a benchmark for sustainable wildlife tourism in similar wildlife-rich regions.

DOI： 10.1145/3627050.3630727

Scopus

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

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

ACM International Conference Proceeding Series page： 295 - 299 2024.3

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

360 Robot Hand Interaction for Group Telepresence with MetaPo Reviewed

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

ACM International Conference Proceeding Series page： 183 - 185 2024.3

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

Establishment of a simple screening system targeting hepatitis B preS1 and NTCP interaction Reviewed

Yamamoto, Y; Horibuchi, K; Fukasawa, M; Yokogawa, M; Shimizu, Y; Yonezawa, T; Ikeda, K; Asami, J; Shimizu, T; Ohto, U; Osawa, M; Noguchi, K

CANCER SCIENCE Vol. 115 page： 188 - 188 2024.3

Theme 4: Infrastructure and Service Resilience for Smart Society Reviewed

Stylios, C; Yonezawa, T

ERCIM NEWS ( 136 ) page： 10 - 10 2024.1

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

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

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

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

Higashiura, K; Yokoyama, K; Asai, Y; Shimosato, H; Kano, K; Katayama, S; Urano, K; Yonezawa, T; Kawaguchi, N

2024 IEEE INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING AND COMMUNICATIONS, PERCOM page： 98 - 105 2024

Language：Japanese Publishing type：Research paper (scientific journal) Publisher：2024 IEEE International Conference on Pervasive Computing and Communications Percom 2024

As global demand for logistics continues to grow, optimizing the automation and efficiency of distribution warehouse operations is of paramount importance. Digitalizing warehouse environments, which refers to the process of sensing the physical space and extracting meaningful information from the obtained data, offers a promising solution to this challenge. However, converting raw warehouse data, such as video footage captured inside the warehouse, into actionable metadata (e.g., tracking the movement paths of workers and products or analyzing the usage patterns of different warehouse locations) often necessitates significant human intervention. The rise of machine learning further complicates this, as it requires the manual preparation of extensive training datasets. In this paper, we introduce a framework that semi-automates the digitalization process in complex warehouse settings. This framework employs dense optical flow and representation learning to autonomously segment warehouse objects and cluster similar objects, thereby substantially cutting down on annotation costs. To evaluate our approach, we constructed a large-scale data collection platform with over 60 fixed cameras in a real-world logistics warehouse, and the video data from this platform was then applied to our framework. Our evaluations indicate that our method markedly reduces both the time and resources required for warehouse digitalization using the captured video data.

DOI： 10.1109/PERCOM59722.2024.10494498

Web of Science

Scopus

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

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

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

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

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

Proceedings of the 22nd Annual International Conference on Mobile Systems, Applications and Services(MobiSys) page： 620 - 621 2024

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

Yoshiteru Nagata, Daiki Kohama, Yoshiki Watanabe, Shin Katayama, Kenta Urano, Takuro Yonezawa, Nobuo Kawaguchi

Proceedings of the 22nd Annual International Conference on Mobile Systems, Applications and Services(MobiSys) page： 688 - 689 2024

Area Modeling using Stay Information for Large-Scale Users and Analysis for Influence of COVID-19. Reviewed

Kazuyuki Shoji, Shunsuke Aoki 0001, Takuro Yonezawa, Nobuo Kawaguchi

CoRR Vol. abs/2401.10648 2024

Unveiling Human Attributes through Life Pattern Clustering using GPS Data Only Reviewed Open Access

Kazuyuki Shoji, Haru Terashima, Nobuo Kawaguchi, Shin Katayama, Kenta Urano, Takuro Yonezawa, Naoki Tamura

Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems page： 621 - 624 2024

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

Haru Terashima, Shun Takagi, Naoki Tamura, Kazuyuki Shoji, Tahera Hossain, Shin Katayama, Kenta Urano, Takuro Yonezawa, Nobuo Kawaguchi

Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Human Mobility Prediction Challenge page： 5 - 9 2024

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

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

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

Demonstration:Remote 3D Scanning with VR and Robotic Arm Reviewed

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

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

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Papers - YONEZAWA Takuro