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Proceedings of Fourth International Conference on Soft Computing for Problem Solving pp 153–164Cite as

Real-time Hand Tracking for Dynamic Gesture Recognition

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 336))

Abstract

In the recent year, gesture recognition has become the most intuitive and effective communication technique for human interaction with machines. In this paper, we are going to work on hand gesture recognition and interpret the meaning of it from video sequences. Our work takes place in the following three phases: (1) hand detection and tracking, (2) feature extraction, and (3) gesture recognition. We have started proposed work with first step as applying hand tracking and hand detection algorithm to track hand motion and to extract position of the hand. Trajectory-based features are being drawn out from hand and used for recognition process, and hidden Markov model is being designed for each gesture for gesture recognition. Hidden Markov Model is basically a powerful statistical tool to model generative sequences. Our method is being tested on our own data set of 16 gestures, and the average recognition rate we have got is 91 %. With proposed methodology gives the better recognition results compare with the traditional approaches such as PCA, ANN, SVM, and DTW.

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Authors and Affiliations

  1. Indian Institute of Information and Technology, Allahabad, Allahabad, India

    Varsha Dixit & Anupam Agrawal

Authors
  1. Varsha Dixit
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  2. Anupam Agrawal
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Corresponding author

Correspondence to Varsha Dixit .

Editor information

Editors and Affiliations

  1. Mathematics, National Institute of Technology Silchar, Silchar, Assam, India

    Kedar Nath Das

  2. Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Kusum Deep

  3. Department of Paper Technology, Indian Institute of Technology Roorkee, Roorkee, India

    Millie Pant

  4. South Asian University, New Delhi, India

    Jagdish Chand Bansal

  5. Department of Computer Science, Liverpool Hope University, Liverpool, United Kingdom

    Atulya Nagar

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© 2015 Springer India

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Dixit, V., Agrawal, A. (2015). Real-time Hand Tracking for Dynamic Gesture Recognition. In: Das, K., Deep, K., Pant, M., Bansal, J., Nagar, A. (eds) Proceedings of Fourth International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 336. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2220-0_12

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  • DOI: https://doi.org/10.1007/978-81-322-2220-0_12

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2219-4

  • Online ISBN: 978-81-322-2220-0

  • eBook Packages: EngineeringEngineering (R0)

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