1 results about "Cyclic network" patented technology

The invention provides a viewpoint adjustment-based graph convolution loop network skeleton action recognition method and system, relates to the technical field of action recognition, and solves the problem of recognition accuracy reduction caused by different observation visual angles. Utilizing the trained graph convolution recurrent neural network, and taking the preprocessed data as input to obtain spatiotemporal information of the bone data; a Softmax function is adopted, the obtained space-time information serves as input, and a skeletal movement classification result is obtained; the method integrates the advantages of the graph convolution network and the cyclic network, achieves the modeling of the time and space information of the skeleton data, can further improve the accuracy of movement recognition on the basis of an LSTM network movement recognition method, is universal in behavior recognition based on a skeleton data set, and is wide in application prospect.