Acoustic Sensor Based Recognition of Human Activity in Everyday Life for Smart Home Services
A novel activity recognition method is proposed based on acoustic information acquired from microphones in an unobtrusive and privacy-preserving manner. Behavior detection mechanisms may be useful in context-aware domains in everyday life, but they may be inaccurate, and privacy violation is a conce...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2015-09-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2015/679123 |
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| _version_ | 1850233587890126848 |
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| author | Jae Mun Sim Yonnim Lee Ohbyung Kwon |
| author_facet | Jae Mun Sim Yonnim Lee Ohbyung Kwon |
| author_sort | Jae Mun Sim |
| collection | DOAJ |
| description | A novel activity recognition method is proposed based on acoustic information acquired from microphones in an unobtrusive and privacy-preserving manner. Behavior detection mechanisms may be useful in context-aware domains in everyday life, but they may be inaccurate, and privacy violation is a concern. For example, vision-based behavior detection using cameras is difficult to apply in a private space such as a home, and inaccuracies in identifying user behaviors reduce acceptance of the technology. In addition, activity recognition using wearable sensors is very uncomfortable and costly to apply for commercial purposes. In this study, an acoustic information-based behavior detection algorithm is proposed for use in private spaces. This system classifies human activities using acoustic information. It combines strategies of elimination and similarity and establishes new rules. The performance of the proposed algorithm was compared with that of commonly used classification algorithms such as case-based reasoning, k-nearest neighbors, support vector machine, and multiple regression. |
| format | Article |
| id | doaj-art-0bb8fb2237384c2399434293fc8e448e |
| institution | OA Journals |
| issn | 1550-1477 |
| language | English |
| publishDate | 2015-09-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-0bb8fb2237384c2399434293fc8e448e2025-08-20T02:02:54ZengWileyInternational Journal of Distributed Sensor Networks1550-14772015-09-011110.1155/2015/679123679123Acoustic Sensor Based Recognition of Human Activity in Everyday Life for Smart Home ServicesJae Mun Sim0Yonnim Lee1Ohbyung Kwon2 SKKU Business School, Sungkyunkwan University, Seoul 110-745, Republic of Korea Knowledge Matters Co., Ltd., Seoul 137-855, Republic of Korea School of Management, Kyung Hee University, 1 Hoegi-dong, Dongdaemun-gu, Seoul 130-701, Republic of KoreaA novel activity recognition method is proposed based on acoustic information acquired from microphones in an unobtrusive and privacy-preserving manner. Behavior detection mechanisms may be useful in context-aware domains in everyday life, but they may be inaccurate, and privacy violation is a concern. For example, vision-based behavior detection using cameras is difficult to apply in a private space such as a home, and inaccuracies in identifying user behaviors reduce acceptance of the technology. In addition, activity recognition using wearable sensors is very uncomfortable and costly to apply for commercial purposes. In this study, an acoustic information-based behavior detection algorithm is proposed for use in private spaces. This system classifies human activities using acoustic information. It combines strategies of elimination and similarity and establishes new rules. The performance of the proposed algorithm was compared with that of commonly used classification algorithms such as case-based reasoning, k-nearest neighbors, support vector machine, and multiple regression.https://doi.org/10.1155/2015/679123 |
| spellingShingle | Jae Mun Sim Yonnim Lee Ohbyung Kwon Acoustic Sensor Based Recognition of Human Activity in Everyday Life for Smart Home Services International Journal of Distributed Sensor Networks |
| title | Acoustic Sensor Based Recognition of Human Activity in Everyday Life for Smart Home Services |
| title_full | Acoustic Sensor Based Recognition of Human Activity in Everyday Life for Smart Home Services |
| title_fullStr | Acoustic Sensor Based Recognition of Human Activity in Everyday Life for Smart Home Services |
| title_full_unstemmed | Acoustic Sensor Based Recognition of Human Activity in Everyday Life for Smart Home Services |
| title_short | Acoustic Sensor Based Recognition of Human Activity in Everyday Life for Smart Home Services |
| title_sort | acoustic sensor based recognition of human activity in everyday life for smart home services |
| url | https://doi.org/10.1155/2015/679123 |
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