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Computational Intelligence: Theories, Applications and Future Directions - Volume I pp 487–493Cite as

Motion Direction Code—A Novel Feature for Hand Gesture Recognition

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 798))

Abstract

Hand movements make the most critical aspect of identifying a hand gesture. We present a novel feature for analyzing the trajectory of the hand while performing the gesture. The proposed feature, called the motion direction code (MDC), returns a unique code which represents, in sequence, the direction of the hand motion while performing a hand gesture. Since the directions of hand motion are retained even if the gesture is performed by different users, it ensures user independence. This feature combined with other hand shape features provides efficient results for a user-independent system for hand gesture recognition in Indian sign language.

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References

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Author information

Authors and Affiliations

  1. GLA University, Mathura, India

    Bhumika Pathak & Anand Singh Jalal

Authors
  1. Bhumika Pathak
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  2. Anand Singh Jalal
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Corresponding author

Correspondence to Anand Singh Jalal .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, Indian Institute of Technology Kanpur, Kanpur, Uttar Pradesh, India

    Nishchal K. Verma

  2. Department of Aerospace Engineering, Indian Institute of Technology Kanpur, Kanpur, Uttar Pradesh, India

    A. K. Ghosh

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Pathak, B., Jalal, A.S. (2019). Motion Direction Code—A Novel Feature for Hand Gesture Recognition. In: Verma, N., Ghosh, A. (eds) Computational Intelligence: Theories, Applications and Future Directions - Volume I. Advances in Intelligent Systems and Computing, vol 798. Springer, Singapore. https://doi.org/10.1007/978-981-13-1132-1_38

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