日本機械学会論文集
Online ISSN : 2187-9761
機械力学,計測,自動制御,ロボティクス,メカトロニクス
高齢者見守りのための音情報を用いた転倒識別に関する研究
中山 仁史石光 俊介中西 良太坂野 史歩空田 卓也前田 夕貴
著者情報
ジャーナル フリー

82 巻 (2016) 844 号 p. 16-00151

詳細
PDFをダウンロード (11361K) 発行機関連絡先
抄録

Recently, we have faced on the problem such as increasing elderly people who have occurred accidents including solitary death and falling and so on at their houses. To deal with these problems, many researchers and companies are proposing and releasing the systems monitored by sensors for keeping them safety. However, conventional systems using sensors including cameras and microphones give little privacy. In order to solve the problems, we proposed and discussed the falling discrimination using sound information for watching elderly people. Proposed system expects the falling discriminations using acoustic features extracted from sound. For discrimination accurately, we focused on Spectrum gravity between subjects/things and flooring styles. The feature characterized and modeled as Spectrum ratio of delta power as dynamic parameter. Finally, experiments of two-class discriminations using feature parameters achieved to 96.83 % with dataset of unspecific conditions.

著者関連情報
© 2016 一般社団法人日本機械学会
前の記事 次の記事
feedback
Top