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

9 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 Jan 1
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
CountrySwitzerland
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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  • Cite this

    Benoit, E., Allevard, T., Ukegawa, T., & Sawada, H. (2003). Fuzzy sensor for gesture recognition based on motion and shape recognition of hand. In VECIMS 2003 - 2003 International Symposium on Virtual Environments, Human-Computer Interfaces and Measurement Systems (pp. 63-67). [1227031] (VECIMS 2003 - 2003 International Symposium on Virtual Environments, Human-Computer Interfaces and Measurement Systems). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VECIMS.2003.1227031