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A Subunit-Based Dynamic Time Warping Approach for Hand Movement Recognition

  • Yanrung Wang
  • Atsushi Shimada
  • Takayoshi Yamashita
  • Rin-ichiro Taniguchi
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8156)

Abstract

A subunit-based Dynamic Time Warping (DTW) approach is proposed for hand movement recognition. Two major contributions distinguish the proposed approach from conventional DTW. (1) A set of hand movement subunits is constructed using a data-driven method. The common sub-movements (subunits) are shared across hand gestures to obtain a smaller training data size and search space to improve recognition performance. (2) A similarity measure robust to variability is offered using subunit-to-subunit matching to absorb the difference between two similar sub-sequences belonging to the same subunit, and only keeping the distances between sub-sequences that relate to different subunits. Our experimental results demonstrate the efficiency and accuracy of the proposed approach.

Keywords

hand movement gesture recognition subunit 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Yanrung Wang
    • 1
  • Atsushi Shimada
    • 1
  • Takayoshi Yamashita
    • 2
  • Rin-ichiro Taniguchi
    • 1
  1. 1.Graduate School of Information Science and Electrical EngineeringKyushu UniversityJapan
  2. 2.OMRON CorporationJapan

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