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[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, "Environmental Sound Collection Game for Human Activity Recognition," Journal of Information Processing, volume 57, number 2, pages 203-210 March 2016.
[3] 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.
[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.
[1] 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.
[1] 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.