| Presentation | 2020-03-05 FMCW Radar-based Anomaly Detection in Toilet by Spectrogram Analysis with LSTM Takabatake Wataru, Mondher Bouazizi, Kohei Yamamoto, Tomoaki Ohtsuki, Yohei Shibata, Atushi 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 andmore 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, at rst, time-series data of the statistics such as mean, standard deviation, skewness, and kurtosis for each time and power changes for each distance. The data for about 9 seconds are classi ed into a faint or a non-faint by LSTM (Long Short Term Memory). LSTM, the one of the deep learning methods needs more data and more variousdata. Though, collecting the data is not easy. Thus, we make new data from the existing data by GAN(Generative Adversarial Network). 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 13 people. As a result, we con rmed that our proposed method detected the fainting behaviors with the Accuray of 0.83. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | FMCW radar / Anomaly detection / Toilet |
| Paper # | RCS2019-351 |
| Date of Issue | 2020-02-26 (RCS) |
| Conference Information | |
| Committee | RCS / SR / SRW |
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| Conference Date | 2020/3/4(3days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Tokyo Institute of Technology |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Mobile Communication Workshop |
| Chair | Tomoaki Otsuki(Keio Univ.) / Masayuki Ariyoshi(NEC) / Satoshi Denno(Okayama Univ.) |
| Vice Chair | Satoshi Suyama(NTT DoCoMo) / Fumiaki Maehara(Waseda Univ.) / Toshihiko Nishimura(Hokkaido Univ.) / Suguru Kameda(Tohoku Univ.) / Osamu Takyu(Shinshu Univ.) / Kentaro Ishidu(NICT) / Keiichi Mizutani(Kyoto Univ.) |
| Secretary | Satoshi Suyama(NTT) / Fumiaki Maehara(Kyushu Univ.) / Toshihiko Nishimura(ATR) / Suguru Kameda(Univ. of Electro-Comm.) / Osamu Takyu(Mie Univ.) / Kentaro Ishidu(Tokyo Inst. of Tech.) / Keiichi Mizutani(Anritsu) |
| Assistant | Kazushi Muraoka(NEC) / Shinsuke Ibi(Doshisha Univ.) / Koichi Adachi(Univ. of Electro-Comm.) / Osamu Nakamura(Sharp) / Manabu Sakai(Mitsubishi Electric) / Mai Ohta(Fukuoka Univ.) / Teppei Oyama(Fujitsu Lab.) / Kentaro Kobayashi(Nagoya Univ.) / Masaaki Fuse(Anritsu) / Tomoki Murakami(NTT) |
| Paper Information | |
| Registration To | Technical Committee on Radio Communication Systems / Technical Committee on Smart Radio / Technical Committee on Short Range Wireless Communications |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | FMCW Radar-based Anomaly Detection in Toilet by Spectrogram Analysis with LSTM |
| Sub Title (in English) | |
| Keyword(1) | FMCW radar |
| Keyword(2) | Anomaly detection |
| Keyword(3) | Toilet |
| 1st Author's Name | Takabatake Wataru |
| 1st Author's Affiliation | Keio University(Keio Univ.) |
| 2nd Author's Name | Mondher Bouazizi |
| 2nd Author's Affiliation | Keio University(Keio Univ.) |
| 3rd Author's Name | Kohei Yamamoto |
| 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 | Atushi Nagate |
| 6th Author's Affiliation | () |
| Date | 2020-03-05 |
| Paper # | RCS2019-351 |
| Volume (vol) | vol.119 |
| Number (no) | RCS-448 |
| Page | pp.pp.165-170(RCS), |
| #Pages | 6 |
| Date of Issue | 2020-02-26 (RCS) |