Framework human behavior identification method, device and equipment based on derivative data distillation

The invention discloses a skeleton human behavior recognition method, device and equipment based on derivative data distillation, and belongs to the technical field of human behavior recognition. The method comprises the steps of obtaining skeleton data of a target object, and obtaining joint data through data preprocessing; based on the joint data, performing calculation to obtain skeleton data; calculating joint difference data based on the joint data, and calculating skeleton difference data based on the skeleton data; training a teacher network based on the skeleton data and the skeleton difference data; training a student network based on the skeleton data, the skeleton difference data and a soft label obtained through teacher network calculation; and inputting the to-be-identified data into the student network to obtain a prediction result. According to the method, the parameter quantity in the network can be controlled under the condition of maximally utilizing skeleton derivative data, and the predict