Dynamic gesture recognition method

The invention discloses a dynamic gesture recognition method which can increase the accuracy of dynamic gesture recognition. The method comprises the following steps: (1) pre-processing dynamic gesture data, expanding the dynamic gesture data based on an interval sampling method, and calculating edges of three channels of RGB of expanded dynamic gesture data based on a canny edge detection operator, so as to generate an image with colored edges; (2) extracting a gesture feature sequence based on a convolutional neural network model; (3) carrying out HMM (Hidden Markov Model) training according to the gesture feature sequence extracted in the step (2) and hand direction features, so as to obtain an HMM most approximate to a gesture sample.