Presentation | 2018-11-03 Automatic clustering using unsupervised life sound learning of elderly Yuta Tanaka, Naoyuki Mizuno, Hiroyuki Nishi, Yoshimasa Kimura, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Although it is important to watch the elderly non-contactly and non invasively by AI, it requires a huge amount of supervised data, the elderly life sound data is scarce and a huge amount of work is required to give labels , Unrealistic. Therefore, in this research, we will consider a method of automatically classifying (clustering) recorded life sound. In particular, we propose a method of cluster consolidation by automatic clustering of the living sound and verifying the difference between the average value and the standard deviation from the past cluster against the clustering result. In order to confirm the effectiveness of the test of the difference between the mean value and the standard deviation, experiments were carried out using three categories of continuous sound data, and the threshold value when the F value was the highest was found to be 4 , It was found that the F value becomes the maximum value 0.76392. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Elderly people / Observation / Life sound / Clustering |
Paper # | ISEC2018-70,SITE2018-48,LOIS2018-30 |
Date of Issue | 2018-10-27 (ISEC, SITE, LOIS) |
Conference Information | |
Committee | SITE / ISEC / LOIS |
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Conference Date | 2018/11/3(2days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | |
Chair | Tetsuya Morizumi(Kanagawa Univ.) / Atsushi Fujioka(Kanagawa Univ.) / Tomohiro Yamada(NTT) |
Vice Chair | Masaru Ogawa(Kobe Gakuin Univ.) / Takushi Otani(Kibi International Univ.) / Shiho Moriai(NICT) / Shoichi Hirose(Univ. of Fukui) / Toru Kobayashi(Nagasaki Univ.) |
Secretary | Masaru Ogawa(Tokyo Health Care Univ.) / Takushi Otani(Toyo Eiwa Univ.) / Shiho Moriai(Tokai Univ.) / Shoichi Hirose(NICT) / Toru Kobayashi(NTT) |
Assistant | Hisanori Kato(KDDI Research) / Nobuyuki Yoshinaga(Yamaguchi Pref Univ.) / Daisuke Suzuki(Hokuriku Univ.) / Kazunari Omote(Tsukuba Univ.) / Yuuji Suga(IIJ) / Shinichiro Eitoku(NTT) |
Paper Information | |
Registration To | Technical Committee on Social Implications of Technology and Information Ethics / Technical Committee on Information Security / Technical Committee on Life Intelligence and Office Information Systems |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Automatic clustering using unsupervised life sound learning of elderly |
Sub Title (in English) | |
Keyword(1) | Elderly people |
Keyword(2) | Observation |
Keyword(3) | Life sound |
Keyword(4) | Clustering |
1st Author's Name | Yuta Tanaka |
1st Author's Affiliation | Sojo University(Sojo Univ.) |
2nd Author's Name | Naoyuki Mizuno |
2nd Author's Affiliation | Sojo University(Sojo Univ.) |
3rd Author's Name | Hiroyuki Nishi |
3rd Author's Affiliation | Sojo University(Sojo Univ.) |
4th Author's Name | Yoshimasa Kimura |
4th Author's Affiliation | Sojo University(Sojo Univ.) |
Date | 2018-11-03 |
Paper # | ISEC2018-70,SITE2018-48,LOIS2018-30 |
Volume (vol) | vol.118 |
Number (no) | ISEC-279,SITE-280,LOIS-281 |
Page | pp.pp.35-38(ISEC), pp.35-38(SITE), pp.35-38(LOIS), |
#Pages | 4 |
Date of Issue | 2018-10-27 (ISEC, SITE, LOIS) |