Abstract
Emphasizing the process and neglecting the end is the core idea of the research and implementation of college physical education learning and assessment, while the performance is the main form of evaluation results. This paper takes the quantitative assessment of basketball teaching as an example and proposes a new Kinect body sensor technology-based quantitative assessment method for basketball teaching. Specifically, for basketball technology recognition and assessment tasks, the Kinect body sensor is first used to collect volunteer's 3D skeleton motion data, then feeding the collected skeleton sequence to the vision transformer network to model the long-distance dependency. And based on this, the skeleton motion recognition network and skeleton motion assessment network are developed. The experimental results show that the proposed networks can well recognize and quantitatively assess the standard and non-standard basketball skill motions.
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