| Presentation | 2018-05-25 Learning and recognition with neural network of heart beats sensed by WBAN for stress estimate for rehabilitation Yukihiro Kinjo, Yoshitomo Sakuma, Ryuji Kohno, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In rehabilitation, approach according to personality is important. So we estimate patients' emotion by neural network(NN) for their R-R interval(RRI) in heart rate data from Wireless Body Area Network(WBAN). However, machine learning processing is complexity and sending heart rate data to super computer like Watson for machine learning processing causes network delay. In this research, we propose how to reduce computational complexity to enable to calculate by limited processing power. Specifically, we aim to reduce it to use NN with preprocessing by wavelet transform and extraction of coefficient of variance of RRI(CVRR). Preprocessing extract a part of characteristic before processing of NN and computational complexity by NN processing reduce. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | rehabilitation / WBAN / emotion recognition / neural network / heartbeat |
| Paper # | RCC2018-21,MICT2018-21 |
| Date of Issue | 2018-05-17 (RCC, MICT) |
| Conference Information | |
| Committee | RCC / MICT |
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| Conference Date | 2018/5/24(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Tokyo Big Sight |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Shinsuke Hara(Osaka City Univ.) / Masaru Sugimachi(National Cerebral and Cardiovascular Center) |
| Vice Chair | Kazunori Hayashi(Osaka City Univ.) / Ryu Miura(NICT) / Shinsuke Hara(Osaka City Univ.) / Takahiro Aoyagi(Tokyo Inst. of Tech.) |
| Secretary | Kazunori Hayashi(Kagawa Univ.) / Ryu Miura(Hokkaido Univ.) / Shinsuke Hara(Niigata Univ.) / Takahiro Aoyagi(Saga Univ.) |
| Assistant | Toshinori Kagawa(NICT) / Kentaro Kobayashi(Nagoya Univ.) / Takumi Kobayashi(Yokohama National Univ.) / Shintaro Izumi(Kobe Univ.) / Tomoko Tateyama(Hiroshima Inst. of Tech.) / Ami Tanaka(Ritsumeikan Univ.) / Daisuke Anzai(Nagoya Inst. of Tech.) |
| Paper Information | |
| Registration To | Technical Committee on Reliable Communication and Control / Technical Committee on Healthcare and Medical Information Communication Technology |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Learning and recognition with neural network of heart beats sensed by WBAN for stress estimate for rehabilitation |
| Sub Title (in English) | |
| Keyword(1) | rehabilitation |
| Keyword(2) | WBAN |
| Keyword(3) | emotion recognition |
| Keyword(4) | neural network |
| Keyword(5) | heartbeat |
| 1st Author's Name | Yukihiro Kinjo |
| 1st Author's Affiliation | Yokohama National University(YNU) |
| 2nd Author's Name | Yoshitomo Sakuma |
| 2nd Author's Affiliation | Yokohama National University(YNU) |
| 3rd Author's Name | Ryuji Kohno |
| 3rd Author's Affiliation | Yokohama National University(YNU) |
| Date | 2018-05-25 |
| Paper # | RCC2018-21,MICT2018-21 |
| Volume (vol) | vol.118 |
| Number (no) | RCC-53,MICT-54 |
| Page | pp.pp.101-104(RCC), pp.101-104(MICT), |
| #Pages | 4 |
| Date of Issue | 2018-05-17 (RCC, MICT) |