Machine-vision-based motion assistance method and system

A machine vision and auxiliary system technology, applied in the direction of instruments, computer components, biological neural network models, etc., to achieve fast recognition and detection speed, high precision, and the effect of ensuring integrity

Inactive Publication Date: 2017-09-12
SHENZHEN INST OF ADVANCED TECH
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AI Technical Summary

Problems solved by technology

But at present, the practice assistance system of yoga or other running projects using deep learning method for action recognition is still in a blank state

Method used

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  • Machine-vision-based motion assistance method and system
  • Machine-vision-based motion assistance method and system
  • Machine-vision-based motion assistance method and system

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Embodiment Construction

[0042] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, not to limit the present application.

[0043]Computer vision is a science that studies how to make machines "see". More specifically, it refers to machine vision that uses cameras and computers instead of human eyes to identify, track and measure targets, and further performs image processing and computer processing. It becomes an image that is more suitable for human eyes to observe or sent to the instrument for detection. As a scientific discipline, computer vision studies related theories and technologies, trying to create artificial intelligence systems that can obtain "information" from images or multi-dimensional data. T...

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Abstract

The application relates to the technical field of the motion assistance systems, more particularly to a machine-vision-based motion assistance method and system. The machine-vision-based motion assistance method comprises: step a, collecting a standard motion video of at least one posture of at least one motion item; step b: on the basis of a deep learning algorithm, constructing a tensor recurrent neural network model according to the standard action video; and step c, collecting a current motion video of a practitioner, inputting the current motion video into the tensor recurrent neural network model for identification, and displaying a standard motion video corresponding to the current motion video according to the identification result. With introduction of the deep learning algorithm, the motion identification precision is improved and the speed is increased; and no additional device needs to be worn, so that the user experience is optimized.

Description

technical field [0001] The present application relates to the technical field of sports assistance systems, in particular to a machine vision-based sports assistance method and system. Background technique [0002] Yoga is a way of exercise that achieves the harmony and unity of body, mind and spirit. It uses ancient and easy-to-master techniques to improve people's physical, mental, emotional and spiritual abilities, including body-adjusting postures, breath-regulating breathing, Mind-adjusting meditation methods, etc., in order to achieve the unity of body and mind. There are many ways to pay attention when practicing yoga, such as postures, breathing, etc. Especially for practitioners who do not have the guidance of a professional coach, the wrong way of practicing will cause harm to the body. [0003] In order to improve the above situation, there are currently some auxiliary equipment for yoga practice. For example, Chinese patent application CN201610255660.3 discloses...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/04
CPCG06N3/04G06V20/42G06V20/41G06F18/214
Inventor 王书强程思潇胡明辉曾德威
Owner SHENZHEN INST OF ADVANCED TECH
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