Design of Motor Skill Training Auxiliary Decision-Making Support System Based on Kinect

Abstract

Aiming at the problem of insufficient stability of traditional motor skill training auxiliary decision-making system in dark or dark environment, this paper designs a motor skill training auxiliary decision-making support system based on Kinect. In terms of hardware design, Kinect is used as the main hardware and TOF technology is used to set the parameters of distance and reachable field of view to obtain motor skill training data. In terms of software design, Kinect is used to determine the bone node of human characteristics, track human data and smooth it, store the smoothed data in the designed data warehouse, and connect the scattered databases together as the support of auxiliary decision-making. On this basis, priority constraints are set for each module in the system to ensure the normal operation of the system. So far, the overall design of the system has been completed. The experimental results show that the motion training aided decision support system based on Kinect designed in this paper has more accurate recognition angle of human motion image and less joint position positioning error in the case of darkness or dark light, which proves that the system has good stability.