HAND GESTURES RECOGNITION USING TIME DELAY NETWORKS

Irina Mocanu () and Tatiana Cristea ()
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Irina Mocanu: University POLITEHNICA of Buchares
Tatiana Cristea: VU University Amsterdam

Journal of Information Systems & Operations Management, 2013, vol. 7, issue 2, 272-279

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%.

Keywords: gesture recognition; time delay networks; Kinect sensor; intelligent systems (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:rau:jisomg:v:7:y:2013:i:2:p:272-279

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