A study of falling discrimination using sound information for watching elderly people
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 th...
Main Authors: | , , , , , |
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Format: | Article |
Language: | Japanese |
Published: |
The Japan Society of Mechanical Engineers
2016-11-01
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Series: | Nihon Kikai Gakkai ronbunshu |
Subjects: | |
Online Access: | https://www.jstage.jst.go.jp/article/transjsme/82/844/82_16-00151/_pdf/-char/en |
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author | Masashi NAKAYAMA Shunsuke ISHIMITSU Ryota NAKANISHI Shiho SAKANO Takuya SORADA Yuki MAEDA |
author_facet | Masashi NAKAYAMA Shunsuke ISHIMITSU Ryota NAKANISHI Shiho SAKANO Takuya SORADA Yuki MAEDA |
author_sort | Masashi NAKAYAMA |
collection | DOAJ |
description | 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. |
first_indexed | 2024-04-12T07:55:00Z |
format | Article |
id | doaj.art-ecb469c883fa449ba5a5b4386e1529d8 |
institution | Directory Open Access Journal |
issn | 2187-9761 |
language | Japanese |
last_indexed | 2024-04-12T07:55:00Z |
publishDate | 2016-11-01 |
publisher | The Japan Society of Mechanical Engineers |
record_format | Article |
series | Nihon Kikai Gakkai ronbunshu |
spelling | doaj.art-ecb469c883fa449ba5a5b4386e1529d82022-12-22T03:41:30ZjpnThe Japan Society of Mechanical EngineersNihon Kikai Gakkai ronbunshu2187-97612016-11-018284416-0015116-0015110.1299/transjsme.16-00151transjsmeA study of falling discrimination using sound information for watching elderly peopleMasashi NAKAYAMA0Shunsuke ISHIMITSU1Ryota NAKANISHI2Shiho SAKANO3Takuya SORADA4Yuki MAEDA5Graduate School of Information Sciences, Hiroshima City UniversityGraduate School of Information Sciences, Hiroshima City UniversityFaculty of Information Sciences, Hiroshima City UniversityFaculty of Information Sciences, Hiroshima City UniversityK’s CorporationK’s CorporationRecently, 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.https://www.jstage.jst.go.jp/article/transjsme/82/844/82_16-00151/_pdf/-char/enfalling discriminationsoundzero corssdelta powersvmk-nn |
spellingShingle | Masashi NAKAYAMA Shunsuke ISHIMITSU Ryota NAKANISHI Shiho SAKANO Takuya SORADA Yuki MAEDA A study of falling discrimination using sound information for watching elderly people Nihon Kikai Gakkai ronbunshu falling discrimination sound zero corss delta power svm k-nn |
title | A study of falling discrimination using sound information for watching elderly people |
title_full | A study of falling discrimination using sound information for watching elderly people |
title_fullStr | A study of falling discrimination using sound information for watching elderly people |
title_full_unstemmed | A study of falling discrimination using sound information for watching elderly people |
title_short | A study of falling discrimination using sound information for watching elderly people |
title_sort | study of falling discrimination using sound information for watching elderly people |
topic | falling discrimination sound zero corss delta power svm k-nn |
url | https://www.jstage.jst.go.jp/article/transjsme/82/844/82_16-00151/_pdf/-char/en |
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