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IEEE/ICACT20210124 Slide.02        [Big Slide]	Oral Presentation
	This paper proposes a new deep neural network-based approach of human activity recognition for virtual multi-sports. As illustrated in the following figure, the proposed approach acquires initial motion data of sports balls, not full motion data of human activities, with a single high-speed camera. Then, a deep neural network model is trained to recognize corresponding human activities, such as baseball batting, soccer kicking, golf swing, and so on.

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