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Paper Abstract and Keywords
Presentation 2017-11-10 10:30
Elderly people observation system based on the detection of untrained acoustic data
Akihiro Ito, Hiroyuki Nishi, Yoshimasa Kimura (Sojo Univ.) ISEC2017-62 SITE2017-44 LOIS2017-39
Abstract (in Japanese) (See Japanese page) 
(in English) Along with the progress of super aged society, the number of lonelihood elderly people is increasing. Therefore, the demand for services to watch the daily lives of the elderly is increasing. However, video cameras and pendant type sensors suffer from infringement of privacy and troublesome wearing of objects. Therefore, the authors propose a watching system that uses a neural network to detect daily abnormal sounds. However, it is extremely difficult to collect all abnormal sounds of life for learning in advance.
In this research, it is determined whether the input sound is learned beforehand or not, and when an unlearned sound is detected, let the user specify that it is normal. If it is specified as normal it will consider a system that enlarges the learning sound by adding that sound to the learning sound and judges it as abnormal if there is no input.
The statistical properties of the output value of the neural network when inputting one type of unlearned sound for the four kinds of learned life sounds are compared with those of the learned sounds, As a result of recognition experiment, we found that the discrimination performance shows the highest value of 89.2% when the threshold value is 0.86.
Keyword (in Japanese) (See Japanese page) 
(in English) Elderly people / Observation / Life sound / Neural network / Untrained acoustic data / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 287, LOIS2017-39, pp. 83-86, Nov. 2017.
Paper # LOIS2017-39 
Date of Issue 2017-11-02 (ISEC, SITE, LOIS) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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Conference Information
Committee LOIS ISEC SITE  
Conference Date 2017-11-09 - 2017-11-10 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
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Paper Information
Registration To LOIS 
Conference Code 2017-11-LOIS-ISEC-SITE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Elderly people observation system based on the detection of untrained acoustic data 
Sub Title (in English)  
Keyword(1) Elderly people  
Keyword(2) Observation  
Keyword(3) Life sound  
Keyword(4) Neural network  
Keyword(5) Untrained acoustic data  
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1st Author's Name Akihiro Ito  
1st Author's Affiliation Sojo University (Sojo Univ.)
2nd Author's Name Hiroyuki Nishi  
2nd Author's Affiliation Sojo University (Sojo Univ.)
3rd Author's Name Yoshimasa Kimura  
3rd Author's Affiliation Sojo University (Sojo Univ.)
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Speaker Author-1 
Date Time 2017-11-10 10:30:00 
Presentation Time 30 minutes 
Registration for LOIS 
Paper # ISEC2017-62, SITE2017-44, LOIS2017-39 
Volume (vol) vol.117 
Number (no) no.285(ISEC), no.286(SITE), no.287(LOIS) 
Page pp.83-86 
#Pages
Date of Issue 2017-11-02 (ISEC, SITE, LOIS) 


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