View-Invariant Analysis of Cyclic Motion
International Journal of Computer Vision
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ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
Hand Motion Gesture Frequency Properties and Multimodal Discourse Analysis
International Journal of Computer Vision
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ACII '07 Proceedings of the 2nd international conference on Affective Computing and Intelligent Interaction
Recognising Human Emotions from Body Movement and Gesture Dynamics
ACII '07 Proceedings of the 2nd international conference on Affective Computing and Intelligent Interaction
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IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 2
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ACM Transactions on Intelligent Systems and Technology (TIST)
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ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
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CVPR '12 Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
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Prolonged durations of rhythmic body gestures were proved to be correlated with different types of psychological disorders. To-date, there is no automatic descriptor that can robustly detect those behaviours. In this paper, we propose a cyclic gestures descriptor that can detect and localise rhythmic body movements by taking advantage of both colour and depth modalities. We show experimentally how our rhythmic descriptor can successfully localise the rhythmic gestures as: hands fidgeting, legs fidgeting or rocking, significantly higher than the majority vote classification baseline. Our experiments also demonstrate the importance of fusing both modalities, with a significant increase in performance when compared to individual modalities.