| Presentation | 2019-01-29 Anomaly Detection in Toilet with FMCW Radar Wataru Takabatake, Kohei Yamamoto, Kentaroh Toyoda, Tomoaki Ohtsuki, Yohei Shibata, Atsushi Nagate, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | With the increase in the population of elderly, elderly monitoring techniques are receiving more and more attention all over the world. In particular, it is highly demanded to develop the system that detects accidents in a toilet, since such accidents are likely to get worse due to late detection. In this report, we propose an FMCW(Frequency Modulated Continuous Wave) radar-based anomaly detection method in toilet. In the proposed method, we detect the fainted subject based on the distance between the subject and the FMCW radar estimated by the received FMCW signal. If the subject faints, the estimated distance is constant. However, even when the subject is sitting still, the estimated distance is constant. To address this problem, in the proposed method, the time during which the subject is still (anomaly candidates) is estimated by the time when the calculated distance does not change. We extract features from the estimated distance and the maximum peak value of $f_{mathrm{FFT}}$, the spectrum obtained by applying the FFT to the received signal of the FMCW radar during about 1 s $sim$ 3 s before when the subject is still. Finally, we use machine learning to classify anomaly candidates into whether a faint or a non-faint. In the experiments, we observed 4 fainting behaviors: (i) stooping on the seat, (ii) leaning on the backrest, (iii) leaning on the sidewall on the seat, and (iv) lying on the floor after the fall. Also we observed the following normal behaviors such as sitting still after the button operation and sitting down. We conducted the experiments with 10 people. As a result, we confirmed that our proposed method detected the fainting behaviors with the F-measure of 0.91. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | FMCW radar / Anomaly detection / Toilet |
| Paper # | ASN2018-90 |
| Date of Issue | 2019-01-21 (ASN) |
| Conference Information | |
| Committee | ASN |
|---|---|
| Conference Date | 2019/1/28(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Kyuukamura Ibusuki |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Ambient intelligence, Sensor networks, Poster session, etc. |
| Chair | Hiraku Okada(Nagoya Univ.) |
| Vice Chair | Koji Yamamoto(Kyoto Univ.) / Jin Nakazawa(Keio Univ.) / Kazuya Monden(Hitachi) |
| Secretary | Koji Yamamoto(NICT) / Jin Nakazawa(Sophia Univ.) / Kazuya Monden(Kanagawa Inst. of Tech.) |
| Assistant | Masafumi Hashimoto(Osaka Univ.) / Tomoyuki Ota(Hiroshima City Univ.) / Tatsuya Kikuzuki(Fujitu Lab.) / Ryo Nakano(HITACHI) / Yoshifumi Hotta(Mitsubishi Electric) |
| Paper Information | |
| Registration To | Technical Committee on Ambient intelligence and Sensor Networks |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Anomaly Detection in Toilet with FMCW Radar |
| Sub Title (in English) | |
| Keyword(1) | FMCW radar |
| Keyword(2) | Anomaly detection |
| Keyword(3) | Toilet |
| 1st Author's Name | Wataru Takabatake |
| 1st Author's Affiliation | Keio University(Keio Univ.) |
| 2nd Author's Name | Kohei Yamamoto |
| 2nd Author's Affiliation | Keio University(Keio Univ.) |
| 3rd Author's Name | Kentaroh Toyoda |
| 3rd Author's Affiliation | Keio University(Keio Univ.) |
| 4th Author's Name | Tomoaki Ohtsuki |
| 4th Author's Affiliation | Keio University(Keio Univ.) |
| 5th Author's Name | Yohei Shibata |
| 5th Author's Affiliation | () |
| 6th Author's Name | Atsushi Nagate |
| 6th Author's Affiliation | () |
| Date | 2019-01-29 |
| Paper # | ASN2018-90 |
| Volume (vol) | vol.118 |
| Number (no) | ASN-428 |
| Page | pp.pp.65-70(ASN), |
| #Pages | 6 |
| Date of Issue | 2019-01-21 (ASN) |