| Presentation | 2017-01-19 Doppler Analysis Based Fall Detection Using Array Antenna Yugo Agata, Tomoaki Ohtsuki, Kentaroh Toyoda, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Nowadays, the number of elderly people who live alone is increasing in Japan. So, there are urgent needs for monitoring their activities to detect accidents indoor.There are systems that use camera or wearable sensors. However, they have disadvantages such as the privacy invasion and the physical burden.To overcome these issues, we have proposed a monitoring system using array antenna, which can detect the change of radio wave propagation caused by human body motions. By extracting features that indicate the changes of radio wave propagation, our conventional method can detect activities including falling after standing with high accuracy. However, when we detect falling after walking, the fall detection accuracy deteriorates.Also, when tracking time series activities, we decide the activity only if it continues more than multiple times. In this case, it is need to set threshold for each activity by experiments. In this report, to improve the fall detection accuracy even after walking, we propose new features obtained by analyzing Doppler signals observed with array antenna. Furthermore, we propose a method of tracking time series activities based on the class assignment probability by a classifier to eliminate the need of setting thresholds. Our experiments demonstrate that the proposed features and the method of tracking time series activities improves the fall detection accuracy. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Fall Detection / Array Antenna / Doppler Analysis |
| Paper # | ASN2016-72 |
| Date of Issue | 2017-01-12 (ASN) |
| Conference Information | |
| Committee | ASN / MoNA / MICT |
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| Conference Date | 2017/1/19(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Hiroshi Tohjo(NTT) / Hiroaki Morino(Shibaura Inst. of Tech.) / Masaru Sugimachi(National Cerebral and Cardiovascular Center) |
| Vice Chair | Hiroo Sekiya(Chiba Univ.) / Hiraku Okada(Nagoya Univ.) / Satoru Yamano(NEC) / Ryoichi Shinkuma(Kyoto Univ.) / Shinsuke Hara(Osaka City Univ.) / Takahiro Aoyagi(Tokyo Inst. of Tech.) |
| Secretary | Hiroo Sekiya(Kanagawa Inst. of Tech.) / Hiraku Okada(NTT) / Satoru Yamano(Univ. of Tokyo) / Ryoichi Shinkuma(NTT DoCoMo) / Shinsuke Hara(Niigata Univ.) / Takahiro Aoyagi(Saga Univ.) |
| Assistant | Yuichi Igarashi(Hitachi) / Katsuhiro Naito(Aichi Inst. of Tech.) / Kiyohiko Hattori(NICT) / Hiroshi Fujita(Fujitsu Labs.) / Takuro Yonezawa(Keio Univ.) / Shigemi Ishida(Kyushu Univ.) / Hisashi Kurasawa(NTT) / Koichi Nihei(NEC) / Kohei Ohno(Meiji Univ.) / Keisuke Shima(Yokohama National Univ.) / Tomoko Tateyama(Hiroshima Inst. of Tech.) / Ami Tanaka(Ritsumeikan Univ.) / Daisuke Anzai(Nagoya Inst. of Tech.) |
| Paper Information | |
| Registration To | Technical Committee on Ambient intelligence and Sensor Networks / Technical Committee on Mobile Network and Applications / 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) | Doppler Analysis Based Fall Detection Using Array Antenna |
| Sub Title (in English) | |
| Keyword(1) | Fall Detection |
| Keyword(2) | Array Antenna |
| Keyword(3) | Doppler Analysis |
| 1st Author's Name | Yugo Agata |
| 1st Author's Affiliation | Keio University(Keio University) |
| 2nd Author's Name | Tomoaki Ohtsuki |
| 2nd Author's Affiliation | Keio University(Keio University) |
| 3rd Author's Name | Kentaroh Toyoda |
| 3rd Author's Affiliation | Keio University(Keio University) |
| Date | 2017-01-19 |
| Paper # | ASN2016-72 |
| Volume (vol) | vol.116 |
| Number (no) | ASN-407 |
| Page | pp.pp.19-24(ASN), |
| #Pages | 6 |
| Date of Issue | 2017-01-12 (ASN) |