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16 件の該当がありました. : このページのURL : HTML


論文誌
[1] Akira Masuda and Takuya Maekawa, "Estimating Physical Characteristics with Body-Worn Accelerometers Based on Activity Similarities," Journal of Information Processing, volume 24, number 2, pages 237-246 March 2016.
[2] Akira Masuda, Kun Zhang, and Takuya Maekawa, "Sonic Home: Environmental Sound Collection Game for Human Activity Recognition," Journal of Information Processing, volume 24, number 2, pages 203-210 March 2016.
[3] Quan Kong and Takuya Maekawa, "Reusing Training Data with Generative/Discriminative Hybrid Model for Practical Acceleration-Based Activity Recognition," Springer Computing, volume 96, pages 875-895 September 2014.
[4] Takuya Maekawa, Yasue Kishino, Yasushi Sakurai, and Takayuki Suyama, "Activity Recognition with Hand-Worn Magnetic Sensors," ACM/Springer Personal and Ubiquitous Computing (ACM/Springer PUC), volume 17, number 6, pages 1085-1094 August 2013.
[5] Yousuke Yasuda and Takuya Maekawa, "Acceleration-Based Activity Recognition with Adaptive Training Data Selection Using Physical Characteristics Information," Rangsit Journal of Information Technology, volume 1, number 2, pages 6-15 July 2013.
[6] Mayu Iwata, Hiroki Miyamoto, Takahiro Hara, Daijiro Komaki, Kentaro Shimatani, Tomohiro Mashita, Kiyoshi Kiyokawa, Toshiaki Uemukai, Gen Hattori, Shojiro Nishio, and Haruo Takemura, "A Content Search System Considering the Activity and Context of a Mobile User," Int'l Journal of Personal and Ubiquitous Computing, volume 17, number 5, pages 1035-1050 June 2013.
[7] Takuya Maekawa and Shinji Watanabe, "Training Data Selection with Users Physical Characteristics Data for Acceleration-Based Activity Modeling," ACM/Springer Personal and Ubiquitous Computing (ACM/Springer PUC), volume 17, pages 451-463 March 2013.
国際会議
[1] Takuya Maekawa, Daisuke Nakai, Kazuya Ohara, and Yasuo Namioka, "Toward Practical Factory Activity Recognition: Unsupervised Understanding of Repetitive Assembly Work in a Factory," Proc. of International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2016), pages 1088-1099 September 2016.
[2] Joseph Korpela, Takuya Maekawa, Julien Eberle, Dipanjan Chakraborty, and Karl Aberer, " Tree-Structured Classifier for Acceleration-Based Activity and Gesture Recognition on Smartwatches," Proc. of IEEE Intl Conf. on Pervasive Computing and Communications (PerCom 2016), March 2016.
[3] Tomohiro Mashita, Kentaro Shimatani, Mayu Iwata, Hiroki Miyamoto, Daijiro Komaki, Takahiro Hara, Kiyoshi Kiyokawa, Haruo Takemura, and Shojiro Nishio, "Human Activity Recognition for a Content Search System Considering Situations of Smartphone Users," Proc. of Int'l Workshop on Ambient Information Technologies (AMBIT 2012), pages 22-23 March 2012.
[4] Shinoda Hiroyuki, Takeuchi Susumu, Teranishi Yuuichi, Harumoto Kaname, , and Shimojo Shinji, "A Ubiquitous Activity Navigation Method by Collaborative Filtering Based on Behavioral Characteristics," In Proc. of ICCE 2007, pages 297-302 November 2007.
国内研究会
[1] Joseph Korpela, Masaki Samejima, Takuya Maekawa, Yasue Kishino, Junichi Nakai, Sakiko Matsumoto, Ken Yoda, and Kazuya Murao, "Preliminary Analysis of Realtime Classification of Feeding Activity for the Streaked Shearwater," 第18回計測自動制御学会システムインテグレーション部門講演会, December 2017.
[2] Joseph Korpela and Takuya Maekawa, " Initial Investigation of Visual Marker Design for Activity Recognition Using Near-Infrared Images," 情報処理学会研究報告(ユビキタスコンピューティングシステム研究会), volume 2016-UBI-50, number 5, pages 1-3 May 2016.
基調講演/セミナー・パネル討論等
[1] Takuya Maekawa, "Sensing and Understanding Real-World: Knowledge Discovery from Human and Animal Activity Data," The Sixth Asian Conference on Information Systems (ACIS 2017), December 2017.
[2] 前川 卓也, "Good Pervasive Computing Studies Require Laborious Data Labeling Efforts: Our Experience in Activity Recognition and Indoor Positioning Studies," PerCom 2017 Workshop on Annotation of useR Data for UbiquitOUs Systems (ARDUOUS2017), 2017年3月.
受賞
[1] Murilo M. Marinho, Yuki Yatsushima, Takuya Maekawa, and Yasuo Namioka, "Runner-Up Paper Award," 4th international Workshop on Sensor-based Activity Recognition and Interaction (iWoar 2017), September 2017.