Presentation | 2014/9/11 Life sound identification algorithm using pattern recognition Hiroyuki NIshi, Kin Kin, Yoshimasa Kimura, Toshio Kakinoki, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In an aging society, the death of elderly people living alone has become a serious social problem. In this study, we propose a new method for detecting the life crisis of elderly people applying pattern recognition technology. More specifically , detection of non-usual sound (for example, sound of a person fall) that does not appear in the day-to-day are useful. In order to establish the method, Perceptron which separate the patterns linearly and the minimum error method which separate the patterns non-linearly are studied. The experiment result describes that the minimum error method shows the better performance than the perceptron. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Elderly people / Watching / Life sound / Speech Recognition / Pattern Recognition |
Paper # | LOIS2014-17 |
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Conference Information | |
Committee | LOIS |
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Conference Date | 2014/9/11(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Life Intelligence and Office Information Systems (LOIS) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Life sound identification algorithm using pattern recognition |
Sub Title (in English) | |
Keyword(1) | Elderly people |
Keyword(2) | Watching |
Keyword(3) | Life sound |
Keyword(4) | Speech Recognition |
Keyword(5) | Pattern Recognition |
1st Author's Name | Hiroyuki NIshi |
1st Author's Affiliation | Faculty of Information Sciences, Sojo University() |
2nd Author's Name | Kin Kin |
2nd Author's Affiliation | Faculty of Information Sciences, Sojo University |
3rd Author's Name | Yoshimasa Kimura |
3rd Author's Affiliation | Faculty of Information Sciences, Sojo University |
4th Author's Name | Toshio Kakinoki |
4th Author's Affiliation | Faculty of Information Sciences, Sojo University |
Date | 2014/9/11 |
Paper # | LOIS2014-17 |
Volume (vol) | vol.114 |
Number (no) | 220 |
Page | pp.pp.- |
#Pages | 4 |
Date of Issue |