Suspension dynamic gesture man-machine interaction system based on deep learning

The invention provides a suspension dynamic gesture man-machine interaction system based on deep learning. The system comprises a data acquisition and processing module, a deep learning classificationmodule and a result data analysis module, and data are transmitted between the data acquisition and processing module and the deep learning classification module and between the deep learning classification module and the result data analysis module through an open API video interface. The method has the advantages that the method is simple; through combination of a deep learning method and advanced data analysis, the RGB camera which is easy to obtain, low in cost and convenient to operate is only used for replacing wearable equipment which is high in cost and poor in convenience to carry out real-time dynamic gesture recognition; the man-machine interaction system is optimized, a user can conveniently control the computer through dynamic gestures, the distance between the user and the computer is shortened, and