2006年
Three-layer model for generation and recognition of attention-drawing behavior
2006 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, VOLS 1-12
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- 開始ページ
- 5843
- 終了ページ
- +
- 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.2006.282399
- 出版者・発行元
- IEEE
This paper presents a three-layer model for generation and recognition of attention-drawing behavior. The model enables a robot to recognize people's attention-drawing behavior as well as to perform attention-drawing behavior to people. It consists of three layers: the PSM (Pointing Space Model), the RTM (Reference Term Model), and the OPM (Object Property Model). The PSM associates the pointing gesture with a reference term, the RTM associates positional relationships with a reference term, and the OPM associates other supplemental verbal cues with a reference term. We implemented the model in a humanoid robot, Robovie, and verified its effectiveness through an experiment.
- リンク情報
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- DOI
- https://doi.org/10.1109/IROS.2006.282399
- DBLP
- https://dblp.uni-trier.de/rec/conf/iros/SugiyamaKIIH06
- J-GLOBAL
- https://jglobal.jst.go.jp/detail?JGLOBAL_ID=201002274180269105
- Web of Science
- https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000245452405152&DestApp=WOS_CPL
- URL
- http://dblp.uni-trier.de/db/conf/iros/iros2006.html#conf/iros/SugiyamaKIIH06
- ID情報
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- DOI : 10.1109/IROS.2006.282399
- DBLP ID : conf/iros/SugiyamaKIIH06
- J-Global ID : 201002274180269105
- Web of Science ID : WOS:000245452405152