Improvement of the real-time gesture analysis by a new mother wavelet and the application for the navigation inside a scale-one 3D system

Abstract : This paper proposes a navigation technique for traveling inside a real-scale 3D model based on human gesture analysis. In the first step, a simple threshold is used as a criterion to analyze gestures. In the next step, a complex criterion will be imposed to the analysis to improve the navigation technique. Walking is a periodic signal and moving feet up and down is a part which is repeated. A mother wavelet is allocated to the selected pattern. Then the position of the pattern is recognized by applying Multi Resolution Analysis (MRAs). The movement command is generated and sent to the graphic render (as a movement command). Analytical results show a very high precision performance in the presence of noise, scale variation and superposition of other signals. Practical experiments also verify the same promising results.
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Communication dans un congrès
10th IEEE International Conference on Advanced Video and Signal-Based Surveillance, Aug 2013, Poland. IEEE, pp.270-275, 2013
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  • HAL Id : hal-00858133, version 1
  • ENSAM : http://hdl.handle.net/10985/7279

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Mohammad Ali Mirzaei, Jean-Rémy Chardonnet, Frédéric Merienne, Christian Pere. Improvement of the real-time gesture analysis by a new mother wavelet and the application for the navigation inside a scale-one 3D system. 10th IEEE International Conference on Advanced Video and Signal-Based Surveillance, Aug 2013, Poland. IEEE, pp.270-275, 2013. 〈hal-00858133〉

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