Study On Detection And Training For The Human Upper Limb Coordination Motion

Regarding the study on the theory and detection methods of the body upper limb coordination movement, the deeper is the study, the extensive is applications. In the healthy development of children, as for the children with coordination movement defects in early time, it is significant for children healthy growth through medical intervention or adjuvant therapy. Currently, in domestic and overseas neural control mechanisms for the upper limb coordination movement is not fully and clearly revealed and the evaluation system has not been established. Nowadays, the detection for the upper limb movement mainly makes use of scale and physician assessment method, etc. These methods detect much more items and are more complicated to operate for the detection for coordination movement obstacle. Therefore, this subject designs the system for the upper limb coordination movement detection. It can detect the patients’ coordination movement condition through the movement indicators.The closed-loop control theory of human movement points out the shortage on the feedback information on the upper limb movement will lead to limb trajectory deviation, thus we design coordinated movement evaluation indicators to indicate the upper limb movement disorder because of the trajectory generated by the deviation:the first is the accuracy of the reference value; the second is synergistic parameter value. Motion sensing unit records real-time trajectory of the upper limb movement and forwards the data to the PC-side to proceed with comprehensive treatment and analyze follow-up results. The subject mainly completes the design on a wearable motion sensing, portable operating control interface and algorithm for coordination motion analysis.The detection system designed by the subject will be applied to training and research, and will train on healthy adult’s coordination movement. The subject compares the experimental group data with control group’s, which discovers the system can detect obvious changes sensitively about evaluation indicators before and after training, proves the system is practical and achieves the desired results.