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Lecture Notes in Computer Science
This paper proposes a novel approach to multi-modal gesture recognition by using skeletal joints and motion trail model. The approach includes two modules, i.e. spotting and recognition. In the spotting module, a continuous gesture sequence is segmented into individual gesture intervals based on hand joint positions within a sliding window. In the recognition module, three models are combined to classify each gesture interval into one gesture category. For skeletal model, Hidden Markov Modelsdoi:10.1007/978-3-319-16178-5_44 fatcat:3byivkbqizhvhb72d5lm6vtzkm