Detection and Recognition of Kinect Body Movements Based on AdaBoost Algorithm and Visual Gesture Builder

With the improvement of the level of information technology, human-computer interaction technology began to gradually come into people's view, and constantly penetrate and develop in a diversified direction. Based on the research hotspot of somatic interaction in human-computer interaction technology, this paper combines action recognition with cultural digital interaction experience. This paper, based on the research hotspot of somatosensory interaction in human-computer interaction technology, we propose a pose-action recognition technology scheme based on AdaBoost algorithm to optimise classifiers for machine learning training in order to solve the efficiency problem of human-computer interaction.