Remote rehabilitation training system and method based on multi-sensor information fusion

Abstract

The invention discloses a remote rehabilitation training system and method based on multi-sensor information fusion. The remote rehabilitation training system comprises a visual acquisition device, an inertial measurement unit, an upper computer and a rehabilitation robot; the visual acquisition device is used for acquiring the motion joint coordinate tracking data of the upper limbs of a rehabilitation doctor; the inertial measurement unit is used for acquiring movement information data of the upper limbs of the rehabilitation doctor; the upper computer is used for performing fusion analysis on the data acquired by the visual acquisition device and the inertial measurement unit to obtain a motion joint angle and generate a training action instruction; and the rehabilitation robot is used for acting according to the training action instruction generated by the upper computer. Accurate capture of actions of rehabilitation doctors is achieved.

Description

technical field [0001] The invention relates to the technical field of rehabilitation training systems, in particular to a remote rehabilitation training system and method based on multi-sensor information fusion. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and do not necessarily constitute prior art. [0003] With the aging of the population, the incidence of stroke is increasing year by year. Stroke has a very high disability rate, and patients often lose their ability to take care of themselves after onset. At the same time, different stroke patients have different clinical manifestations and symptoms. Medical research shows that receiving professional and targeted rehabilitation treatment in a timely manner after the onset of stroke can effectively reduce the disability rate of patients and help patients recover their limb movement and self-care ability. Once the "golden rehabilitat...

AI Technical Summary

Problems solved by technology

In order to ensure that stroke patients with different conditions can receive targeted rehabilitation treatment, it is necessary to capture the targeted treatment plan and action of the rehabilitation physician, but the inventor believes that the existing technology relies on a single sensor when capturing the training actions of the rehabilitation physician For gesture capture, there are problems such as complex configuration, inaccurate pose extraction, detection failure caused by overlapping limbs, and limited range of motion.

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