Intelligent rehabilitation system and method for tracking limb movement by utilizing same

Abstract

The invention applies to protect an intelligent rehabilitation system and a method for tracking limb movement by utilizing the same, relating to the field of computer vision. The invention takes the position of the center of mass output by a Camshift tracking algorithm as a measuring signal, adopts a Kalman filtration algorithm to correct the position of a palm, and thereby overcoming the defect that the existing limb movement tracking method can not solve the interference problem of a large area of complexion. The method is not affected by the variation of the shape and the size of the targeted object, has better robustness and can further simplify the computational burden.

Description

technical field [0001] The invention belongs to the field of computer vision, and in particular relates to a limb movement tracking method in an intelligent rehabilitation system. Background technique [0002] Limb movement disorders caused by hemiplegia, cerebral palsy, and trauma seriously affect the quality of life of patients and bring heavy burdens to society and families. Physical disability (limb disability) refers to the disability of limbs or limbs, trunk paralysis, deformity, resulting in different degrees of loss of function or dysfunction of the human body movement system. Physical disability is the main component of the disabled population. With the process of social industrialization, the incidence of physical disability has been increasing year by year, approaching or exceeding half of the disabled population. However, more than 60% of patients with physical disabilities can improve their quality of life through systematic rehabilitation and functional exerci...

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is to study and improve on the problem of large-area skin color interference in human hand motion tracking in the existing intelligent rehabilitation system, which leads to tracking failure

In the process of human hand motion tracking, the Camshift (continuous adaptive mathematical expectation movement) tracking algorithm is used to track the target with a specific color, and the center of mass position of the tracked object is output as the measurement signal, and the Kalman filter algorithm is used to correct the palm position (that is, the search window center position), overcomes the defect that the Camshift tracking algorithm cannot solve the problem of large-area skin color interference

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