Deep Learning-Based Quantitative Evaluation Model for Student Motor Skills and its Application Validation
Quantitative assessment of student motor skills requires robust spatiotemporal feature extraction from motion video data, especially when automated evaluation is expected to reduce subjective scoring bias. This study develops a deep learning-based evaluation model integrating pose recognition, convolutional neural netw...