Monitoring method used in movement process

A technology of motion process and motion posture, applied in measuring devices, computer-aided medical programs, health index calculations, etc., can solve the problems of inaccurate feature extraction and low generalization performance of neural networks, so as to improve accuracy and generalization Effect

Pending Publication Date: 2022-03-25
CAPITAL UNIV OF PHYSICAL EDUCATION & SPORTS +1
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AI Technical Summary

Problems solved by technology

However, image and video data are greatly affected by the environment, such as light, viewing angle, etc., resulting in inaccurate feature extraction, and the low generalization performance of the current neural network is also a limitation that affects its wide application.

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  • Monitoring method used in movement process

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Embodiment Construction

[0032] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0033] An embodiment of the present invention provides a monitoring method used in the exercise process, referring to figure 1 shown, including the following steps:

[0034] S1. Separately collect physiological health data, gyroscope data, acceleration data and video stream data in the user's current state, decode the video stream data into images, input the images into the motion posture classification model, and output the motion...

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Abstract

The invention discloses a monitoring method used in a motion process, which comprises the following steps: acquiring physiological health data, gyroscope data, acceleration data and video stream data of a user in a current state, decoding the video stream data into an image, inputting the image into a motion posture classification model, and outputting a motion posture classification result; according to the motion posture classification result and the physiological health data, the current motion posture of the user is comprehensively judged, and data used for representing the current motion state of the user is output; scoring the current motion posture of the user, generating a correction result, and sending the correction result to terminal equipment corresponding to the user; or carrying out abnormal condition grading on the current motion posture of the user, and sending help information to related personnel. Motion monitoring combining various observation data of the user is achieved, the motion postures of the user are classified, scores are generated and corrected, or help information is sent. And the accuracy and generalization of motion behavior monitoring are obviously improved.

Description

technical field [0001] The invention relates to the technical field of motion monitoring, in particular to a monitoring method used in the motion process. Background technique [0002] With the improvement of living standards, people pay more and more attention to physical health, so there are more and more related demands for various fitness facilities. At present, there are already a number of fitness apps on the market that cooperate with sports bracelets and other equipment, so that people can perform physical exercises without going to professional gyms, and obtain physiological data and movement trajectories. [0003] The Beidou satellite navigation system is a global satellite navigation system independently developed by my country, which can provide all kinds of users with high-precision and high-reliability positioning services around the clock and around the world. The fifth generation mobile communication technology (5thGeneration Mobile Communication Technology,...

Claims

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Application Information

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IPC IPC(8): G06V20/40G06V20/52G06V40/20G16H10/60G16H50/30G06K9/62G01D21/02G06V10/764
CPCG16H10/60G16H50/30G01D21/02G06F18/2415
Inventor 周志雄黄小梅王刚李力刘晓然
Owner CAPITAL UNIV OF PHYSICAL EDUCATION & SPORTS
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