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IEEE/ICACT20210124 Slide.09        [Big Slide]	Oral Presentation
	The proposed approach performs the human activity recognition by learning the initial motion data of sports balls with a deep neural network model. The initial motion data of sports balls work as feature vectors, of which the dimension is up to 9, for recognizing human activities, which makes the proposed approach more efficient than the previous approaches using the full motion data of human activities. The feature vector can be configured with one of these vectors.

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