| Presentation | 2020-01-10 Evaluation of automatic clustering by unsupervised learning with non-stationary sounds Yuta Tanaka, Hiyoyuki Nishi, Manabu Okamoto, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In order to monitor the elderly without contact and non-invasiveness, it is effective to identify recorded sounds from daily life by machine learning. However, a huge amount of labeled data is required, and there is little data for the sound from elderly's life, so a huge amount of new work is required. Therefore, in this research, we will consider a method of automatically classifying (clustering) recorded sounds. In particular, we propose a method of cluster consolidation by automatic clustering of the sounds from daily life and verifying the difference between the average value and the standard deviation from the past cluster against the clustering result. As a result of experiments using only non-stationary sounds, it was found that it was difficult to evaluate correctly based on the F value |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Elderly people / Observation / Sounds from daily life / Clustering |
| Paper # | ICM2019-38,LOIS2019-53 |
| Date of Issue | 2020-01-02 (ICM, LOIS) |
| Conference Information | |
| Committee | LOIS / ICM |
|---|---|
| Conference Date | 2020/1/9(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | ARKAS SASEBO |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Practical Use of Lifelog, Office Information System, Business Management, etc. |
| Chair | Tomohiro Yamada(NEL) / Kiyohito Yoshihara(KDDI Research) |
| Vice Chair | Toru Kobayashi(Nagasaki Univ.) / Takumi Miyoshi(Shibaura Inst. of Tech.) / Yoichi Sato(Open Systems Laboratory) |
| Secretary | Toru Kobayashi(Research Organization of Information and Systems) / Takumi Miyoshi(NTT) / Yoichi Sato(NTT) |
| Assistant | Kenichi Arai(Nagasaki Univ.) / Hiroki Nakayama(Bosco) |
| Paper Information | |
| Registration To | Technical Committee on Life Intelligence and Office Information Systems / Technical Committee on Information and Communication Management |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Evaluation of automatic clustering by unsupervised learning with non-stationary sounds |
| Sub Title (in English) | |
| Keyword(1) | Elderly people |
| Keyword(2) | Observation |
| Keyword(3) | Sounds from daily life |
| Keyword(4) | Clustering |
| 1st Author's Name | Yuta Tanaka |
| 1st Author's Affiliation | Sojo University(Sojo Univ.) |
| 2nd Author's Name | Hiyoyuki Nishi |
| 2nd Author's Affiliation | Sojo University(Sojo Univ.) |
| 3rd Author's Name | Manabu Okamoto |
| 3rd Author's Affiliation | Sojo University(Sojo Univ.) |
| Date | 2020-01-10 |
| Paper # | ICM2019-38,LOIS2019-53 |
| Volume (vol) | vol.119 |
| Number (no) | ICM-358,LOIS-359 |
| Page | pp.pp.45-50(ICM), pp.45-50(LOIS), |
| #Pages | 6 |
| Date of Issue | 2020-01-02 (ICM, LOIS) |