2015年
Brain-machine interfaces for assistive smart homes: A feasibility study with wearable near-infrared spectroscopy
2015 37TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)
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- 開始ページ
- 1107
- 終了ページ
- 1110
- 記述言語
- 英語
- 掲載種別
- 研究論文(国際会議プロシーディングス)
- DOI
- 10.1109/EMBC.2015.7318559
- 出版者・発行元
- IEEE
Smart houses for elderly or physically challenged people need a method to understand residents' intentions during their daily-living behaviors. To explore a new possibility, we here developed a novel brain-machine interface (BMI) system integrated with an experimental smart house, based on a prototype of a wearable near-infrared spectroscopy (NIRS) device, and verified the system in a specific task of controlling of the house's equipments with BMI. We recorded NIRS signals of three participants during typical daily-living actions (DLAs), and classified them by linear support vector machine. In our off-line analysis, four DLAs were classified at about 70% mean accuracy, significantly above the chance level of 25%, in every participant. In an online demonstration in the real smart house, one participant successfully controlled three target appliances by BMI at 81.3% accuracy. Thus we successfully demonstrated the feasibility of using NIRS-BMI in real smart houses, which will possibly enhance new assistive smart-home technologies.
Web of Science ® 被引用回数 : 7
Web of Science ® の 関連論文(Related Records®)ビュー
- リンク情報
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- DOI
- https://doi.org/10.1109/EMBC.2015.7318559
- DBLP
- https://dblp.uni-trier.de/rec/conf/embc/OgawaHGMYIIKI15
- Web of Science
- https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000371717201100&DestApp=WOS_CPL
- URL
- http://dblp.uni-trier.de/db/conf/embc/embc2015.html#conf/embc/OgawaHGMYIIKI15
- ID情報
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- DOI : 10.1109/EMBC.2015.7318559
- ISSN : 1557-170X
- DBLP ID : conf/embc/OgawaHGMYIIKI15
- Web of Science ID : WOS:000371717201100