Monitoring method and system for environment-assisted life

Abstract

The invention relates to a monitoring method and system for environment-assisted life. The method comprises the steps that a data acquisition module acquires first three-dimensional point cloud data of a scene; the data acquisition module sends the first three-dimensional point cloud data to a data processing module; the data processing module performs human body target extraction on the first three-dimensional point cloud data to generate second three-dimensional point cloud data; the data processing module calculates and acquires three-dimensional skeleton and joint data of the human body target according to the second three-dimensional point cloud data; the data processing module calculates a projection angle value of the three-dimensional skeleton and joint data in a three-dimensionalcoordinate plane; the data processing module sends the projection angle value to the data output module; and a data output module draws and outputs a projection angle curve in real time according to the projection angle value.

Description

technical field [0001] The invention relates to the fields of three-dimensional data processing and automatic control, in particular to a monitoring method and system for environment-assisted living. Background technique [0002] With the advent of the aging era, the health care problems of the elderly have become increasingly prominent. At present, in terms of rehabilitation training for the elderly, because the elderly are relatively weak, the wearable rehabilitation monitoring equipment is too bulky and inconvenient to wear. Therefore, one-to-one guidance training is still mainly adopted, and the training effect depends on the level of the rehabilitation teacher. Rehabilitation teachers have high requirements for experience, and the evaluation of rehabilitation status is highly subjective, and the rehabilitation data cannot be quantified. While continuous rehabilitation testing and evaluation by people is labor-intensive, it also brings high costs to patients. rehabilita...

AI Technical Summary

Problems solved by technology

At present, in terms of rehabilitation training for the elderly, because the elderly are relatively weak, the wearable rehabilitation monitoring equipment is too bulky and inconvenient to wear. Therefore, one-to-one guidance training is still mainly adopted, and the training effect depends on the level of the rehabilitation teacher. Rehabilitation specialists have high requirements for experience, and the evaluation of rehabilitation status has a very subjective nature. It is impossible to quantify the rehabilitation data. It is labor-intensive to carry out continuous rehabilitation detection and evaluation through human beings, and it also brings high costs to patients. rehabilitation costs

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