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

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Part of the book series:Lecture Notes in Computer Science ((LNIP,volume 8156))

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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.

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Author information

Authors and Affiliations

  1. Graduate School of Information Science and Electrical Engineering, Kyushu University, Japan

    Yanrung Wang, Atsushi Shimada & Rin-ichiro Taniguchi

  2. OMRON Corporation, Japan

    Takayoshi Yamashita

Authors
  1. Yanrung Wang

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  2. Atsushi Shimada

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  3. Takayoshi Yamashita

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  4. Rin-ichiro Taniguchi

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Editor information

Editors and Affiliations

  1. Department of Applied Science, University of Naples Parthenope, Centro Direzionale Isola C4, 80133, Napoli, Italy

    Alfredo Petrosino

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© 2013 Springer-Verlag Berlin Heidelberg

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Wang, Y., Shimada, A., Yamashita, T., Taniguchi, Ri. (2013). A Subunit-Based Dynamic Time Warping Approach for Hand Movement Recognition. In: Petrosino, A. (eds) Image Analysis and Processing – ICIAP 2013. ICIAP 2013. Lecture Notes in Computer Science, vol 8156. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41181-6_68

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