論文

査読有り
2013年

A Waypoint-Based Framework in Brain-Controlled Smart Home Environments: Brain Interfaces, Domotics, and Robotics Integration

2013 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS)
  • Atsunori Kanemura
  • ,
  • Yoichi Morales
  • ,
  • Motoaki Kawanabe
  • ,
  • Hiroshi Morioka
  • ,
  • Nagasrikanth Kallakuri
  • ,
  • Tetsushi Ikeda
  • ,
  • Takahiro Miyashita
  • ,
  • Norihiro Hagita
  • ,
  • Shin Ishii

開始ページ
865
終了ページ
870
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/IROS.2013.6696452
出版者・発行元
IEEE

The noninvasive brain-machine interface (BMI) is anticipated to be an effective tool of communication not only in laboratory settings but also in our daily livings. The direct communication channel created by BMI can assist aging societies and the handicapped and improve human welfare. In this paper we propose and experiment a BMI framework that combines BMI with a robotic house and autonomous robotic wheelchair. Autonomous navigation is achieved by placing waypoints within the house and, from the user side, the user performs BMI to give commands to the house and wheelchair. The waypoint framework can offer essential services to the user with an effectively improved information-transfer rate and is an excellent examples of the fusion of data measured by sensors in the house, which can offer insight into further studies.

Web of Science ® 被引用回数 : 14

リンク情報
DOI
https://doi.org/10.1109/IROS.2013.6696452
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000331367400127&DestApp=WOS_CPL
URL
http://dblp.uni-trier.de/db/conf/iros/iros2013.html#conf/iros/KanemuraSKMKIMHI13