The Capture and Evaluation System of Student Actions in Physical Education Classroom Based on Deep Learning.

Autor:	Liu, Guiyun, Crespo, Rubén González, Manickam, Adhiyaman
Předmět:	DEEP learning PHYSICAL education ARTIFICIAL neural networks SCHOOL children SOFTWARE engineering
Zdroj:	Journal of Interconnection Networks; 2022Supplement, Vol. 22, p1-23, 23p
Abstrakt:	The article discusses about student action in physical education classroom. Topics discussed include that it is essential to capture and evaluate student action in the physical education classroom to assess their behavior, discussed that the staff or trainer cannot watch and evaluate the students individually and image data are evaluated based on the trained set of data provided in DL-IF's Artificial Neural Network (ANN).
Databáze:	Complementary Index
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