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Hand Gestures Recognition Using Time Delay Networks

Author

Listed:
  • Irina Mocanu

    (University POLITEHNICA of Buchares)

  • Tatiana Cristea

    (VU University Amsterdam)

Abstract

This paper proposes a system for body gestures recognition using the coordinates of the body skeletal returned by a Kinect sensor who are processed in order to compute a set of angles. Gesture recognition is achieved using a Time Delay Neural Network, implemented in two ways: with delay layer, and with delay synapse. The resulting system was trained on a set of gestures, such as: hands up and elbows bent, lifting arms, lowering arms, round, greeting gesture and pointing assertion. Each gesture was repeated at least 5 times with different speed. The accuracy of the proposed method is approximately 80%.

Suggested Citation

  • Irina Mocanu & Tatiana Cristea, 2013. "Hand Gestures Recognition Using Time Delay Networks," Romanian Economic Business Review, Romanian-American University, vol. 7(2), pages 272-279, December.
    • Handle: RePEc:rau:journl:v:7:y:2013:i:2:p:272-279
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    File URL: http://www.rebe.rau.ro/RePEc/rau/jisomg/WI13/JISOM-WI13-A8.pdf
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