Review of Vision-based Neural Network 3D Dynamic Gesture Recognition Methods
Dynamic gesture recognition,as an important means of human-computer interaction,has received widespread attention.Among them,the visual-based recognition method has become the preferred choice for the new generation of human-computer in-teraction due to its convenience and low cost.Centered on artificial neural networks,this paper reviews the research progress of visual-based gesture recognition methods,analyzes the development status of different types of artificial neural networks in ges-ture recognition,investigates and summarizes the types and characteristics of data to be recognized and training datasets.In addi-tion,through performance comparison experiments,different types of artificial neural networks are objectively evaluated,and the results are analyzed.Finally,based on the summary of the research content,the challenges and problems faced in this field are elaborated,and the development trend of dynamic gesture recognition technology is prospected.
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