6,999 research outputs found
Effect of sparsity-aware time–frequency analysis on dynamic hand gesture classification with radar micro-Doppler signatures
Dynamic hand gesture recognition is of great importance in human-computer interaction. In this study, the authors investigate the effect of sparsity-driven time-frequency analysis on hand gesture classification. The time-frequency spectrogram is first obtained by sparsity-driven time-frequency analysis. Then three empirical micro-Doppler features are extracted from the time-frequency spectrogram and a support vector machine is used to classify six kinds of dynamic hand gestures. The experimental results on measured data demonstrate that, compared to traditional time-frequency analysis techniques, sparsity-driven time-frequency analysis provides improved accuracy and robustness in dynamic hand gesture classification
A fast algorithm for vision-based hand gesture recognition for robot control
We propose a fast algorithm for automatically recognizing a limited set of gestures from hand images for a robot control application. Hand gesture recognition is a challenging problem in its general form. We consider a fixed set of manual commands and a reasonably structured environment, and develop a simple, yet effective, procedure for gesture recognition. Our approach contains steps for segmenting the hand region, locating the fingers, and finally classifying the gesture. The algorithm is invariant to translation, rotation, and scale of the hand. We demonstrate the effectiveness of the technique on real imagery
Representation of Samba dance gestures, using a multi-modal analysis approach
In this paper we propose an approach for the
representation of dance gestures in Samba dance. This
representation is based on a video analysis of body
movements, carried out from the viewpoint of the
musical meter. Our method provides the periods, a
measure of energy and a visual representation of
periodic movement in dance. The method is applied to
a limited universe of Samba dances and music, which
is used to illustrate the usefulness of the approach
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