Data analysis model of wearable devices in physical education

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Abstract

At present, the physical health of primary and secondary school students is declining while physical education plays an important role in improving students’ physical quality. However, how to judge scientifically and accurately students’ exercise load and ensure students’ exercise safety have become one of the constraints in physical education. The application of wearable devices can help teachers to understand students’ exercise data in time, but the analysis procedure is complicated. Based on this, this paper puts forward a data analysis model of wearable devices in physical education. The four steps are as follows: (1) understand the whole (2) compare and observe (3) analysis and hypothesis (4) calibrate and test. And then taking Binhe Primary School in Zhejiang as an example, we apply this model to analysis the data.

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APA

Dong, Q., Qu, X., & Miao, R. (2019). Data analysis model of wearable devices in physical education. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11546 LNCS, pp. 225–238). Springer Verlag. https://doi.org/10.1007/978-3-030-21562-0_19

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