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Multimodal gesture recognition for mascot robot system based on Choquet integral using camera and 3D accelerometers fusion

  • Yongkang Tang*
  • , Hai An Vu
  • , Phuc Q. Le
  • , Daisuke Masano
  • , Oo Han Thet
  • , Chastine Fatichah
  • , Zhentao Liu
  • , Masashi Yamaguchi
  • , Martin Leonard Tangel
  • , Fangyan Dong
  • , Yoichi Yamazaki
  • , Kaoru Hirota
  • *Corresponding author for this work
  • Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology
  • Kanto Gakuin University

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

A multimodal gesture recognition method for mascot robot system is proposed based on Choquet integral by fusing camera and 3D accelerometer data. The optimization of two fuzzy measures in the training phase for two recognition units, i.e., camera-based and accelerometer-based units, obtains enough recognition rate of 92.7% for 8 types of gestures by improving the recognition rate approximate 20% compared with that of each unit. The proposed method targets casual communication from humans to robots by integrating nonverbal gesture messages and verbal messages.

Original languageEnglish
Pages (from-to)563-572
Number of pages10
JournalJournal of Advanced Computational Intelligence and Intelligent Informatics
Volume15
Issue number5
DOIs
Publication statusPublished - Jul 2011
Externally publishedYes

Keywords

  • 3D accelerometer
  • Choquet integral
  • Gesture recognition
  • Human-robot interaction
  • Sensor fusion

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