Abstract:This paper presents a novel approach for classifying arm gestures by building a three-layer semantic classification tree. We first extract three semantic features that explicitly contain communicative information and have outstanding descriptive ability. Based on the analysis of human body parts and the spatial-temporal characteristic of gestures, collaboration between two arms, key posture, as well as the motion periodicity are extracted. These features function as a good way of building bridges between botto… Show more
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