Gestures recognition based on multimodal fusion by using 3D CNNs
Yimin Zhu,
Qing Gao,
Hongyan Shi
et al.
Abstract:Gestures have long been recognized as an interaction technique that can provide a more natural, creative, and intuitive way to communicate with computers. However, some existing difficulties include the high probability that the same type of movement done at different speeds will be recognized as a different category of movement; cluttered, occluded, and low-resolution backgrounds; and the near-impossibility of fusing different types of features. To this end, we propose a novel framework for integrating differ… Show more
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