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Gesture recognition using combination of acceleration sensor and images for casual communication between robots and humans

  • Y. Yamazaki*
  • , H. A. Vu
  • , P. Q. Le
  • , Z. Liu
  • , C. Fatichah
  • , M. Dai
  • , H. Oikawa
  • , D. Masano
  • , O. Thet
  • , Y. Tang
  • , N. Nagashima
  • , M. L. Tangel
  • , F. Dong
  • , K. Hirota
  • *Corresponding author for this work
  • Kanto Gakuin University
  • Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

13 Citations (Scopus)

Abstract

A fuzzy logic based multi-modal gesture recognition method is proposed, where both camera images and hand motion data (given by a 3D acceleration sensor put on human wrists) are used to notify the emotion of humans to robots in real time. To demonstrate the validity, it is applied to a part of the home party scenario enjoyed by five eye robots and four human participants, where 8 types of human emotional-gestures are successfully recognized by robots. The proposed method aims to realize the casual communication between robots and humans in the mascot robot system that has been developed by authors' group.

Original languageEnglish
Title of host publication2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010
PublisherIEEE Computer Society
ISBN (Print)9781424469109
DOIs
Publication statusPublished - 2010
Externally publishedYes

Publication series

Name2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010

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