Hand function rehabilitation training system based on Leap Motion and VR and implementation method of system

Abstract

The invention relates to a hand function rehabilitation training system based on Leap Motion and VR and an implementation method of the system. According to the hand function rehabilitation training system based on the Leap Motion and VR and the implementation method of the system, a sensing capture technology and a virtual reality technology are combined; Leap Motion hand movement tracking and high-precision finger recognition technology are adopted to acquire the motion data of the hand of a user, the motion data are mapped to an immersive virtual scene constructed by the VR so as to be applied to real-time interaction; and training tasks which are closed to daily life such as gesture training and finger control ability improvement training such as pinch by two fingers, grasp by a hand in a spherical shape, and grasp by a hand in a columnar shape can be set; and rehabilitation programs can be provided for users with hand dyskinesia caused by illness or injury. With the system of theinvention adopted, the interest and initiative of the user's in rehabilitation can be improved, the effect of the motor nerve function reconstruction of the user can be accelerated; and the current shortage of physician resources can be effectively alleviated.

Description

technical field [0001] The invention relates to the fields of rehabilitation engineering and virtual reality, in particular to a hand function rehabilitation training system based on the combination of Leap Motion and VR and an implementation method thereof. Background technique [0002] According to the report of the World Health Organization, the number of users who need rehabilitation treatment due to motor dysfunction caused by stroke is increasing year by year. Among them, hand dysfunction is one of the main symptoms caused by stroke. It is specifically manifested as difficulty in stretching the interphalangeal joints and metacarpophalangeal joints, loss of grasping, fingers and other fine joint control ability, which seriously affects the daily life and work ability of users. Family and society have brought a heavy burden. It has been proved by research that active rehabilitation training can help the recovery of the user's limb motor function and promote recovery. ...

AI Technical Summary

Problems solved by technology

But it still has the following deficiencies: (1) the mechanical structure has the risk of causing secondary damage to the user's fingers, and the safety is difficult to guarantee; (2) the rehabilitation robot is complicated to control and expensive, which is unbearable for ordinary users; (3) most of them are For passive exercise rehabilitation, it is difficult to fully mobilize the active plasticity of the user's central nervous system

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