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- W2213200051 abstract "This paper proposes a hand gesture recognition technique that allows users to enjoy uninterrupted interaction with a variety of multimedia applications. Hand gestures are recognized using joint information acquired from a Kinect sensor, and the recognized gestures are applied to multimedia content. To this end, hand gestures are quantized in the grid space, expressed using an 8-directional vector chain, and finally recognized on the basis of a hidden Markov model. To assess the proposed approach, we define the hand gestures used in the “Smart Interior” multimedia application, and collect a dataset of gestures using the Kinect. Our experiments demonstrate a high recognition ratio of between 90 and 100 %. Furthermore, the experiments identify the possibility of applying this approach to a variety of multimedia content by verifying its superior operation in actual applications." @default.
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- W2213200051 date "2015-01-01" @default.
- W2213200051 modified "2023-10-18" @default.
- W2213200051 title "Hand Gesture Recognition Using 8-Directional Vector Chains in Quantization Space" @default.
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- W2213200051 doi "https://doi.org/10.1007/978-94-017-9618-7_31" @default.
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