Behavior recognition system and method based on multi-position sensor feature fusion

The invention belongs to the technical field of behavior recognition, and provides a behavior recognition system and method based on multi-position sensor feature fusion. The behavior recognition system based on multi-position sensor feature fusion comprises a data module and a model module, the data module stores and preprocesses collected original data to obtain action pictures for subsequent model training; the model module comprises a feature extraction sub-module and a classification sub-module, and a final prediction result is obtained. According to the method, spatial dependence among all data is abandoned, spatial dependence among same axial data of different sensors with stronger correlation is selected, three groups of action pictures are formed by extracting the data according to (x, y and z) three-axis directions and fusing the data, and feature fusion is performed through a secondary post-fusion model, so that the accuracy of the data fusion is improved. The time and space characteristics of the