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Hand shape recognition is one of the most important techniques used in human-computer interaction. However, it often takes developers great efforts to customize their hand shape recognizers. In this paper, we present a novel method that enables a hand shape recognizer to be built automatically from simple sketches, such as a "stick-figure" of a hand shape. We introduce the Hand Boltzmann...
This paper presents a flexible method for singleframe hand gesture recognition by fusing information from color and depth images. Existing methods usually focus on designing intuitive features for color and depth images. On the contrary, our method first extracts common patch-level features, and fuses them by means of kernel descriptors. Linear SVM is then adopted to predict the class label efficiently...
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