Human Machine Recognition Technology Based on User Scene

Gesture interaction has become an important part and research hotspot in the field of human-computer interaction due to its natural and intuitive advantages. In the development of modern human-computer interaction, motion based recognition technology has its inherent technical advantages. Therefore, this paper studies and analyzes the man-machine recognition technology based on user scenes. This paper analyzes the technical principle of human-computer interaction, human-computer interaction recognition technology based on gestures and demonstration system based on user scene action recognition; A gait recognition algorithm based on convolution kernel of human-computer recognition algorithm is proposed. Taking exoskeleton wearing as an example, the human-computer coordinated wearing is tested. Through the comparative analysis of different recognition algorithms, the effectiveness of the gait recognition algorithm of human-computer recognition technology based on user scenes proposed in this paper is verified.