Cerebral stroke patient upper limb movement function training method based on Microsoft Kinect

Abstract

The invention provides a scientific, effective and accurate rehabilitation training method even if a rehabilitation doctor and a therapist are absent by utilizing a skeleton tracking technology and depth image data of Microsoft Kinect 2.0 and combining the characteristics of upper limb movement dysfunction of the stroke patient. The method specifically comprises the following steps: 1) initial definition: establishing a human body space coordinate system, calling joint point parameter definition, performing initialization, and setting a basic posture condition algorithm; 2) action execution: executing training actions under the guidance of screen characters, images and sounds by a patient; 3) data acquisition: acquiring three-dimensional coordinate information of human body joint points by using a Kinect camera; 4) data analysis: decomposing training actions through an algorithm, analyzing joint point coordinates, and judging action execution conditions; 5) real-time feedback: performing real-time feedback on the action execution condition through a screen and prompting; and 6) result evaluation: analyzing the completion condition of each action in rehabilitation training and recording the score.

Description

technical field [0001] The invention relates to the fields of human-computer interaction technology and rehabilitation training technology, in particular to a Microsoft Kinect 2.0-based training method for upper limb motor function of stroke patients. Background technique [0002] The incidence and prevalence of stroke in my country are increasing year by year, and the age of onset is declining. At the same time, with the development and progress of medicine, the mortality rate of stroke patients has gradually decreased, and the rate of disability and the number of disabled people have continued to increase. Alleviating the dysfunction of patients and helping them return to their families and society requires the intervention of rehabilitation therapy. In some areas with relatively backward economic development, the number of rehabilitation professionals is far from enough to serve the local disabled, and stroke patients often cannot receive professional rehabilitation trai...

AI Technical Summary

Problems solved by technology

[0003] There are many kinds of existing upper limb rehabilitation training systems. Most training systems need to wear sensors on the patient or guide the patient to complete the training action by a robotic arm. The input of external equipment to physical sensory stimulation will make it difficult for the patient to obtain the real feeling of being in it. Difficulty concentrating and poor experience during training

Some training systems on the market limit training actions to two-dimensional planes, and three-dimensional space actions related to daily life activities cannot be performed

At the same time, most of the rehabilitation training systems used today are expensive, and it is difficult to popularize them in grassroots rehabilitation medical institutions.

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