| Presentation | 2017-10-20 Machine Learning Approach to Recognizing Indoor Activities based on Environment Sensing and Activity Logs on Changing Points Kazunari Tamamizu, Seiji Sakakibara, Sachio Saiki, Masahide Nakamura, Kiyoshi Yasuda, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The ICT-based elderly monitoring systems attract great attention as a promising technology for home elderly care. However, the conventional systems have limitations of deployment cost and invasiveness, effort of activity labeling, and a lack of communication. To cope with the limitations, we proposed the new system that captures activities of the elderly. Specificallly, in this paper, we focus on Auto Recognition in Activity Recognition Service that composes the proposed system and implement Auto Recognition. Also, we collect sensor data and activity logs and execute machine learning to evaluate Auto Recognition accuracy. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | elderly care / home care / machine learning / activity recognition / change point detection |
| Paper # | SP2017-52,WIT2017-48 |
| Date of Issue | 2017-10-12 (SP, WIT) |
| Conference Information | |
| Committee | WIT / SP |
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| Conference Date | 2017/10/19(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Tobata Library of Kyutech (Kitakyushu) |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Chikamune Wada(Kyushu Inst. of Tech.) / Yoichi Yamashita(Ritsumeikan Univ.) |
| Vice Chair | Daisuke Wakatsuki(Tsukuba Univ. of Tech.) / Hiroki Mori(Utsunomiya Univ.) |
| Secretary | Daisuke Wakatsuki(Nagoya Inst. of Tech.) / Hiroki Mori(AIST) |
| Assistant | Takeaki Shionome(*) / Manabi Miyagi(Tsukuba Univ. of Tech.) / Takashi Handa(Saitama Industrial Technology Center) / Kei Hashimoto(Nagoya Inst. of Tech.) / Satoshi Kobashikawa(NTT) |
| Paper Information | |
| Registration To | Technical Committee on Well-being Information Technology / Technical Committee on Speech |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Machine Learning Approach to Recognizing Indoor Activities based on Environment Sensing and Activity Logs on Changing Points |
| Sub Title (in English) | |
| Keyword(1) | elderly care |
| Keyword(2) | home care |
| Keyword(3) | machine learning |
| Keyword(4) | activity recognition |
| Keyword(5) | change point detection |
| 1st Author's Name | Kazunari Tamamizu |
| 1st Author's Affiliation | Kobe University(Kobe Univ.) |
| 2nd Author's Name | Seiji Sakakibara |
| 2nd Author's Affiliation | Kobe University(Kobe Univ.) |
| 3rd Author's Name | Sachio Saiki |
| 3rd Author's Affiliation | Kobe University(Kobe Univ.) |
| 4th Author's Name | Masahide Nakamura |
| 4th Author's Affiliation | Kobe University(Kobe Univ.) |
| 5th Author's Name | Kiyoshi Yasuda |
| 5th Author's Affiliation | Chiba Rosai Hospital(Chiba Rosai Hospital) |
| Date | 2017-10-20 |
| Paper # | SP2017-52,WIT2017-48 |
| Volume (vol) | vol.117 |
| Number (no) | SP-250,WIT-251 |
| Page | pp.pp.101-106(SP), pp.101-106(WIT), |
| #Pages | 6 |
| Date of Issue | 2017-10-12 (SP, WIT) |