Hand motion tracking device and method based on binocular infrared vision

Abstract

The invention relates to a hand motion tracking device and method based on binocular infrared vision. The hand motion tracking device comprises a binocular infrared vision module, a glass panel, a computer, an ARAT standard object and a user operation composite platform. The glass panel is fixed to the user operation composite platform through a fixing block. The binocular infrared vision module is arranged below the glass panel and is connected with the computer through a video USB transmitting line. The portion, irradiated by the binocular infrared vision module, of the glass panel is provided with a checkerboard identity, and the space above the checkerboard identity is a user motion space. The ARAT standard object is placed on the glass panel and behind the checkerboard identity. The hand motion tracking method comprises the steps of system initialization, ARAT assessment tracking and assessment data analysis. According to the hand motion tracking device and method based on binocular infrared vision, information of hand motion of a user is collected through the binocular infrared vision module, and the user does not need to wear other devices. The hand motion tracking device and method based on binocular infrared vision have the advantages that interference of visible light can be resisted, recognition is stable, and the operation speed is high.

Description

technical field [0001] The invention relates to clinical rehabilitation and information processing technology, in particular to a hand movement tracking device and method based on binocular infrared vision. Background technique [0002] The human hand is mainly responsible for fine activities and work in motor function, but most stroke patients are accompanied by partiality symptoms, and the recovery effect of hand function on the hemiplegic side is generally unsatisfactory, and about 70% of the patients have different degrees of motor dysfunction . For patients with stroke and traumatic brain injury, the improvement of quality of life is closely related to their ability of daily life, among which the recovery of hand motor function is the most important, and it is also an urgent problem to be solved in rehabilitation training. The traditional clinical treatment method is that therapists conduct one-on-one rehabilitation training for patients. Due to the lack of therapists ...

AI Technical Summary

Problems solved by technology

Although these device systems can be used to track hand movements, for the rehabilitation training of hemiplegic patients after stroke, these devices have complex structures and have a certain impact on the patient's movement, so they are not suitable for the training requirements of hemiplegic patients.

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