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

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationVECIMS 2003 - 2003 International Symposium on Virtual Environments, Human-Computer Interfaces and Measurement Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages63-67
Number of pages5
ISBN (Electronic)0780377850, 9780780377851
DOIs
Publication statusPublished - 2003
Externally publishedYes
Event2003 International Symposium on Virtual Environments, Human-Computer Interfaces and Measurement Systems, VECIMS 2003 - Lugano, Switzerland
Duration: 2003 Jul 272003 Jul 29

Publication series

NameVECIMS 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
Country/TerritorySwitzerland
CityLugano
Period03/7/2703/7/29

Keywords

  • Application software
  • Character recognition
  • Computer interfaces
  • Handicapped aids
  • Human computer interaction
  • Measurement uncertainty
  • Motion measurement
  • Robot control
  • Shape measurement
  • Speech coding

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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