Fuzzy sensor for gesture recognition based on motion and shape recognition of hand

E. Benoit, T. Allevard, T. Ukegawa, H. Sawada

研究成果: Conference contribution

10 被引用数 (Scopus)

抄録

Gesture recognition needs to take into account very different information. It needs to perform the fusion of hand shape and motion information. This paper presents a solution using a fuzzy sensor approach for the aggregation of such measurement information. Motion recognition is based on a measurement represented by numerical fuzzy subsets, and shape recognition is based on measurements represented by lexical fuzzy subsets.

本文言語English
ホスト出版物のタイトルVECIMS 2003 - 2003 International Symposium on Virtual Environments, Human-Computer Interfaces and Measurement Systems
出版社Institute of Electrical and Electronics Engineers Inc.
ページ63-67
ページ数5
ISBN(電子版)0780377850, 9780780377851
DOI
出版ステータスPublished - 2003
外部発表はい
イベント2003 International Symposium on Virtual Environments, Human-Computer Interfaces and Measurement Systems, VECIMS 2003 - Lugano, Switzerland
継続期間: 2003 7月 272003 7月 29

出版物シリーズ

名前VECIMS 2003 - 2003 International Symposium on Virtual Environments, Human-Computer Interfaces and Measurement Systems

Other

Other2003 International Symposium on Virtual Environments, Human-Computer Interfaces and Measurement Systems, VECIMS 2003
国/地域Switzerland
CityLugano
Period03/7/2703/7/29

ASJC Scopus subject areas

  • 人工知能
  • 人間とコンピュータの相互作用
  • 制御およびシステム工学
  • 電子工学および電気工学

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