研究者詳細 - 榎堀　優

論文 - 榎堀　優

分割表示 164 件中 1 - 20 件目／全件表示 >>

rTsfNet: a DNN Model with Multi-head 3D Rotation and Time Series Feature Extraction for IMU-based Human Activity Recognition 査読有り国際誌

Yu Enokibori

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 8 巻 ( 4 ) 頁： 1 - 16 2024年12月

Integrated Utilization of IMU-based Human Activity Recognition Datasets Across Varied Configurations using MIG HAR Dataset 査読有り国際誌

Akihisa Tsukamoto, Kenji Mase, Yu Enokibori

International Journal of Activity and Behavior Computing 2024 巻 ( 2 ) 頁： 1 - 21 2024年6月

匠の技能解析に向けたラベル付き大規模データ収集システムの作業現場導入に試みるボトムアップアプローチ招待有り

榎掘優, 間瀬健二

システム制御情報学会学会誌「システム／制御／情報」 67 巻 ( 2 ) 頁： 72 - 77 2023年2月

BLEビーコンを用いた車椅子の自走・介助および活動量の推定手法査読有り

大鐘勇輝，榎堀優，梶克彦

情報処理学会論文誌 64 巻 ( 1 ) 頁： 145 - 157 2023年1月

Joint Position Estimation for Body Pressure Images during Sleep: An Extension for CPM Using Body Area and Posture Estimation Mashups 査読有り

Kei Iwase, Yu Enokibori, Naoto Yoshida, Kenji Mase

Journal of Information Processing 29 巻頁： 620 - 629 2021年10月

布圧力センサを用いた褥瘡予防教育支援システム査読有り

小野瀬良佑, 榎堀優, 原沢優子, 間瀬健二

情報処理学会論文誌頁： 746 - 755 2020年3月

日常物体画像を用いた変化検出課題における難易度調整手法査読有り

榎堀優, 檜作孟志, 間瀬健二

電子情報通信学会論文誌D J103-D 巻 ( 3 ) 頁： 111 - 119 2020年3月

個人ライフログを用いたe-コーチング技術招待有り査読有り

間瀬健二, 平山高嗣, 森田純哉, 榎堀優

情報処理学会論文誌教育とコンピュータ（TCE） 5 巻 ( 2 ) 頁： 1 - 11 2019年6月

Data Augmentation to Build High Performance DNN for In-bed Posture Classification 査読有り国際誌

Yu Enokibori, Kenji Mase

Journal of Information Processing 26 巻頁： 718 - 727 2018年10月

褥瘡看護ケア支援に向けた体表圧を計測可能な衣類型圧力センサの研究査読有り

小野瀬良佑, 榎堀優, 間瀬健二

情報処理学会論文誌 59 巻 ( 10 ) 頁： 1827 - 1836 2018年10月

Personal viewpoint navigation based on object trajectory distribution for multi-view videos 査読有り国際誌

Xueting Wang, Kensho Hara, Yu Enokibori, Takatsugu Hirayama, Kenji Mase

IEICE Transactions on Information and Systems E101D 巻 ( 1 ) 頁： 193 - 204 2018年1月

担当区分：筆頭著者記述言語：英語掲載種別：研究論文（学術雑誌）出版者・発行元：Institute of Electronics, Information and Communication, Engineers, IEICE

Multi-camera videos with abundant information and high flexibility are useful in a wide range of applications, such as surveillance systems, web lectures, news broadcasting, concerts and sports viewing. Viewers can enjoy an enhanced viewing experience by choosing their own viewpoint through viewing interfaces. However, some viewers may feel annoyed by the need for continual manual viewpoint selection, especially when the number of selectable viewpoints is relatively large. In order to solve this issue, we propose an automatic viewpoint navigation method designed especially for sports. This method focuses on a viewer’s personal preference for viewpoint selection, instead of common and professional editing rules. We assume that different trajectory distributions of viewing objects cause a difference in the viewpoint selection according to personal preference. We learn the relationship between the viewer’s personal viewpoint-selection tendency and the spatio-temporal game context represented by the objects trajectories. We compare three methods based on Gaussian mixture model, SVM with a general histogram and SVM with a bag-of-words to seek the best learning scheme for this relationship. The performance of the proposed methods are evaluated by assessing the degree of similarity between the selected viewpoints and the viewers’ edited records.

DOI： 10.1587/transinf.2017EDP7122

Scopus

Why Did False Rumors Diffuse after the 2011 Earthquake off the Pacific Coast of Tohoku? Impact Analysis of the Network Structure 査読有り国際誌

Shohei Usui, Fujio Toriumi, Takatsugu Hirayama, Yu Enokibori, Kenji Mase

ELECTRONICS AND COMMUNICATIONS IN JAPAN 98 巻 ( 9 ) 頁： 1 - 13 2015年9月

担当区分：筆頭著者記述言語：英語掲載種別：研究論文（学術雑誌）出版者・発行元：WILEY-BLACKWELL

As a steady new network communications tool, social media have reached global proportions. This phenomenon has had an impact on societies all over the world. Above all, people provide information to Twitter and Facebook on a daily basis. As a result, vast amounts of data exist on Twitter and Facebook, and we can expect to gather useful information from these services. Twitter was changed by the 2011 Tohoku Earthquake. Further, Twitter greatly contributed to the diffusion of information. For example, many users checked on the safety of their friends or family. However, numerous false rumors were spread, probably due to the source of information being unclear. To prepare for future disasters, we must analyze the diffusion of information through social media as soon as possible. In this paper we analyze how the diffusion of information on Twitter has been influenced by structural changes in the network that are caused by communication among users. As a result, just after the 2011 earthquake in the Tohoku region in Japan, it became easier for information to spread in the network. However, this means that misinformation too can spread. We also found that a few users believed misinformation despite being corrected. (C) 2015 Wiley Periodicals, Inc.

DOI： 10.1002/ecj.11687

Web of Science

上体周囲長計測による肺気量推定の姿勢変動補正査読有り

榎堀優, 伊藤陽脩, 平山高嗣, 間瀬健二

バイオメカニズム 22 巻頁： 203 - 211 2014年

Dwarfstar : ライフログデータ処理のためのフレームワーク査読有り

名生貴昭, 松井智紀, 榎堀優, 西尾信彦

電子情報通信学会論文誌. D, 情報・システム 96 巻 ( 5 ) 頁： 1267 - 1278 2013年

ウェアラブルセンサを用いた熟練指導員のヤスリがけ技能主観評価値の再現査読有り

榎堀優, 間瀬健二

人工知能学会論文誌 28 巻 ( 4 ) 頁： 391 - 399 2013年

PeerPool：DNSクエリを操作に用いた分散スマート環境間接続技術査読有り

榎堀優, 中野悦史, 新井イスマイル, 西尾信彦

情報処理学会論文誌コンピューティングシステム(ACM) 2 巻 ( 4 ) 頁： 37 - 47 2009年

動的に構成を変更可能な仮想スマート環境の構築査読有り

榎堀優, 西尾信彦

情報処理学会論文誌 49 巻 ( 1 ) 頁： 58 - 68 2008年

Unified-usage-behavior Based KANSEI Sharing Among Who Have Similar KANSEI Background 査読有り国際誌

Yu Enokibori, Jun Yamagami, Naoto Yoshida, Tomoko Yonezawa, and Kenji Mase

The 2024 International Conference on Kansei Engineering and Emotion Research (KEER2024) 2024年11月

Controlling Age and Similarity to User's Face for Trustworthiness of Interactive Agent: Generative Faces and Acceptability 査読有り国際誌

Tomoko Yonezawa, Shinji Iwata, Naoto Yoshida, Kenji Mase, and Yu Enokibori

The 2024 International Conference on Kansei Engineering and Emotion Research (KEER2024) 2024年11月

Database Construction of Facial Expressions of Elderly Japanese and Evaluation Based on FACS 査読有り国際誌

Naoto Yoshida, Hiroto Murakami, Tomoko Yonezawa, Kenji Mase, and Yu Enokibori

The 2024 International Conference on Kansei Engineering and Emotion Research (KEER2024) 2024年11月

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