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Committee Date Time Place Paper Title / Authors Abstract Paper #
SP 2016-08-24
13:00		 Kyoto ACCMS, Kyoto Univ. Adaptation Methods for Daily Activity Recognition Based on Deep Neural Network
Tomoki Hayashi (Nagoya Univ.), Norihide Kitaoka (Tokushima Univ.), Tomoki Toda, Kazuya Takeda (Nagoya Univ.) SP2016-27		 Our objective is to build a monitoring system which enables elderly people to live actively, and the key technology to a... [more] SP2016-27
pp.1-6
SP 2016-08-24
13:25		 Kyoto ACCMS, Kyoto Univ. Daily Activity Recognition Based on Recurrent Neural Network
Akira Tamamori, Tomoki Hayashi, Tomoki Toda, Kazuya Takeda (Nagoya Univ.) SP2016-28		 Our goal is to build an automatic surveillance system for elderly people and the core technique is daily activity recogn... [more] SP2016-28
pp.7-12
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