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Hand fine action training guidance system and method based on vision

A technology of fine movement and hand movement, applied in the field of deep learning, computer vision, and software technology, which can solve the problems of limiting the accuracy of 3D hand gesture recognition and lack of large data sets, so as to improve the rehabilitation effect, low cost and simple operation Effect

Inactive Publication Date: 2020-05-12
HEFEI INSTITUTES OF PHYSICAL SCIENCE - CHINESE ACAD OF SCI
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AI Technical Summary

Problems solved by technology

However, the quality of 3D gesture recognition depends heavily on the quality of the training data set. Currently, there is a lack of credible 3D ground-truth large data sets containing labels.
These factors limit the accuracy of current 3D hand gesture recognition

Method used

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  • Hand fine action training guidance system and method based on vision
  • Hand fine action training guidance system and method based on vision
  • Hand fine action training guidance system and method based on vision

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Embodiment Construction

[0036] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0037] Such as figure 1 Shown, the present invention comprises the following steps:

[0038] S01. Design and create a hand fine motion image data set. The experiment recruited 20 subjects, namely: 10 normal young people, 5 healthy elderly people and 5 stroke patients, without distinction of gender. The experimenter is required to make fine hand movements such as side pinching, making a fist, grasping, using different fingers to pinch, placing...

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Abstract

The invention relates to a hand fine motion training guidance system and method based on vision. The system comprises a data processing module, a 3D hand posture recognition module, a data analysis module and a training guidance module. The system detects the hand fine movement ability of a user in real time through a computer vision method, guides the user to perform hand fine movement rehabilitation training in real time, guarantees the training efficiency and intensity, accurately controls training parameters, and objectively evaluates the rehabilitation training effect through quantitativedata.

Description

technical field [0001] The invention belongs to the fields of software technology, deep learning and computer vision, and in particular relates to a method with 3D hand fine movement recognition and hand fine movement training guidance, that is, a vision-based hand fine movement training guidance system and method. Background technique [0002] With the development of medical technology, the average life expectancy of human beings is increasing, and at the same time, the aging of the population is intensifying. For middle-aged and elderly people over 40 years old, stroke and Alzheimer's disease are frequently-occurring diseases, which seriously endanger their health. Stroke and Alzheimer's disease are accompanied by many complications, and limb motor dysfunction is one of them. The cause of stroke is damage to the central nervous system, which leads to limb motor dysfunction in patients. Through scientific rehabilitation training methods, the damaged nervous system can be ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H20/30G06K9/00G06N3/04
CPCG16H20/30G06V20/64G06V40/28G06N3/045
Inventor 杨先军吴琦姚志明周旭孙怡宁张晓翟王涛李红军
Owner HEFEI INSTITUTES OF PHYSICAL SCIENCE - CHINESE ACAD OF SCI
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