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Modeling for Gesture Set Design toward Realizing Effective Human-Vehicle Interface

  • Cheoljong Yang
  • Jongsung Yoon
  • Jounghoon Beh
  • Hanseok Ko
Part of the Studies in Computational Intelligence book series (SCI, volume 365)

Abstract

Intuitive driver-to-vehicle interface is highly desirable as we experience rapid increase of vehicle device complexity in modern day automobile. This paper addresses the gesture mode of interface and proposes an effective gesture language set capable of providing automotive control via hand gesture as natural but safe human-vehicle interface. Gesture language set is designed based on practical motions of single hand gesture. Proposed language set is optimized for in-vehicle imaging environment. Feature mapping for recognition is achieved using hidden Markov model which effectively captures the hand motion descriptors. Representative experimental results indicate that the recognition performance of proposed language set is over 99%, which makes it promising for real vehicle application.

Keywords

language set gesture recognition driver-vehicle interface HMM 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Cheoljong Yang
    • 1
  • Jongsung Yoon
    • 1
  • Jounghoon Beh
    • 2
  • Hanseok Ko
    • 1
  1. 1.Vision Information ProcessingKorea UniversitySeoulKorea
  2. 2.Institute for Advanced Computer StudiesUniversity of MarylandCollege parkUSA

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