A Study on  Self‐Organizing  Map of Indoor Activity Sound for Detecting Abnormal Situation in Daily Life | Zendy

Tanaka Motoshi | Zendy; Takata Naru | Zendy

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A Study on Self‐Organizing Map of Indoor Activity Sound for Detecting Abnormal Situation in Daily Life

Author(s) -

Tanaka Motoshi,

Takata Naru

Publication year - 2021

Publication title -

ieej transactions on electrical and electronic engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.254

H-Index - 30

eISSN - 1931-4981

pISSN - 1931-4973

DOI - 10.1002/tee.23321

Subject(s) - self organizing map , abnormality , microphone , sound (geography) , computer science , broadband , artificial intelligence , telecommunications , psychology , acoustics , cluster analysis , physics , sound pressure , social psychology

In order to develop a detection system of abnormal situations (such as accidents) for a person living alone, SOM (self‐organizing map) of only daily activity sound recorded with a broadband microphone, and detection of abnormal situation are investigated. The SOM was divided into three regions containing 98.9, 1.0, and 0.1% of the number of learned vectors, and transition of the vectors of simulated abnormality sound was observed. The result indicates the feasibility of use of the SOM for detecting abnormal situations. © 2021 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.

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