Zachary Berglund, Elma Kontor-Manu, Samuel Biano Jacundino, Yaohua Feng
Random forest models of food safety behavior during the COVID-19 pandemic
International journal of environmental health research
paper highlights need intelligent analysis students behavioral states physical education tasks handring inertial data used identify students motion sequence states first statistical feature extraction performed based acceleration angular velocity data collected bracelet completing filtering noise reduction data perform feature extraction back propagation neural network bpnn use sliding window method analysis finally classification capability model sequence enhanced hidden markov model hmm experimental results indicate classification accuracy student action sequences physical education exceeds 96 optimization hmm method provides intelligent means new ideas future student state recognition physical education teaching reform