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Vision-based hand gesture recognition is a popular research topic for human-machine interaction (HMI). We have earlier developed a model-based method for tracking hand motion in complex scene by using Hausdorff tracker. In this paper, we now propose to extract certain features from the gesture trajectory so as to identify the form of the trajectory. Thus, these features can be efficiently used for...
The use of human hand as a natural interface for human-computer interaction (HCI) serves as the motivation for research in hand gesture recognition. Gestures provide a rich and intuitive form of interaction for controlling robots. Vision-based hand gesture recognition involves visual analysis of hand shape, position and/or movement. This paper describes a system which enables a robot to recognize...
The task of automatic gesture recognition is highly challenging due to the presence of unpredictable and ambiguous non gesture hand motions referred to as co-articulation. Due to co-articulation that occurs during transition from one gesture to the next, problem is encountered in continuous hand gesture recognition. In this paper, we have shown that co-articulation may be tackled by identifying the...
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