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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] Joseph Korpela and Takuya Maekawa, "Privacy-Preserving Recognition of Object-Based Activities Using Near-Infrared Reflective Markers," ACM/Springer Personal and Ubiquitous Computing (ACM/Springer PUC), volume 22, number 2, pages 365-377 April 2018.
[2] Joseph Korpela and Takuya Maekawa, "Privacy Preserving Recognition of Object-Based Activities Using Near-Infrared Reflective Markers," Personal and Ubiquitous Computing, pages 1-13 August 2017.
[3] 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.
[4] 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.
[5] 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.
[6] 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.
国際会議
[1] Kazuya Ohara, Takuya Maekawa, Stephan Sigg, and Moustafa Youssef, "Preliminary Investigation of Position Independent Gesture Recognition Using Wi-Fi Channel State Information," IEEE International Conference on Pervasive Computing and Communications (PerCom 2018), March 2018.
[2] Naoya Yoshimura, Takuya Maekawa, Daichi Amagata, and Takahiro Hara, "Preliminary Investigation of Fine-Grained Gesture Recognition with Signal Super-Resolution," In IEEE International Conference on Pervasive Computing and Communications, 2018.
[3] Tomoya Nakatani, Ryohei Kuga, and Takuya Maekawa, "Preliminary Investigation of Object-Based Activity Recognition Using Egocentric Video Based on Web Knowledge," In International Conference on Mobile and Ubiquitous Multimedia (MUM 2018), 2018.
[4] 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.
[5] 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.
[6] Tomohiro Mashita, Daijiro Komaki, Mayu Iwata, Kentaro Shimatani, Hiroki Miyamoto, Takahiro Hara, Kiyoshi Kiyokawa, Haruo Takemura, and Shojiro Nishio, "A Content Search System for Mobile Devices Based on User Context Recognition," Proc. of Int'l Workshop on Ambient Information Technologies (AMBIT 2012), pages 1-4 March 2012.
[7] 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.
国内研究会
[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.
基調講演/セミナー・パネル討論等
[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.
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.