Gesture recognition and classification method and system based on fuzzy neural network

• Main Authors: BAO ZHE, ZHANG YATAO, BAI YUXIN, JIANG SHIPENG
• Format: Patent
• Language: Chinese; English
• Published: 25.10.2022
• Subjects: CALCULATING; COMPUTING; COUNTING; PHYSICS

The invention provides a gesture recognition and classification method and system based on a fuzzy neural network, and the method comprises the steps: obtaining a to-be-recognized gesture video, and carrying out the preprocessing of the to-be-recognized gesture video, and obtaining a gesture image; constructing a gesture recognition classification model, wherein the gesture recognition classification model comprises a fuzzy processing layer, a neural network layer and a fusion layer; respectively inputting the gesture image into a fuzzy logic layer and a neural network layer for processing to obtain first feature output and second feature output; and carrying out weighted fusion on the first feature output and the second feature output through a fusion layer, and outputting a gesture recognition result. According to the method, a fuzzy system and neural network learning are combined to form a network structure with self-adaption, experience accumulation and fuzzy information processing capabilities. 本发明提出了一种基