2024
DOI: 10.1186/s40359-024-01743-4
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An intelligent model to decode students’ behavioral states in physical education using back propagation neural network and Hidden Markov Model

Liyan Li

Abstract: This paper highlights the need for intelligent analysis of students’ behavioral states in physical education tasks. The hand-ring inertial data is used to identify students’ motion sequence states. First, statistical feature extraction is performed based on the acceleration and angular velocity data collected from the bracelet. After completing the filtering and noise reduction of the data, we perform feature extraction by Back Propagation Neural Network (BPNN) and use the sliding window method for analysis. F… Show more

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