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Intelligent fitness action guiding method based on 3D reconstruction

An action guidance, 3D technology, applied in the direction of instruments, character and pattern recognition, computer components, etc., can solve the problems of correction that cannot be standardized by user actions, large errors, lack of comparison of 3D depiction technology, etc.

Active Publication Date: 2021-03-12
CHONGQING UNIV OF POSTS & TELECOMM
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, these guidance systems lack 3D characterization of actions, and the existing 3D characterization technologies lack comparison; resulting in large errors when comparing standard actions with actual actions, making it impossible to accurately and standardize user actions. correct

Method used

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  • Intelligent fitness action guiding method based on 3D reconstruction
  • Intelligent fitness action guiding method based on 3D reconstruction
  • Intelligent fitness action guiding method based on 3D reconstruction

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Embodiment Construction

[0051] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. 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.

[0052] The implementation of a fitness guidance method based on the 3D reconstruction system provided in the embodiment of the present invention is mainly aimed at the problem that fitness practitioners’ own movements are not standardized and it is inconvenient to obtain effective guidance. The core idea is as follows figure 1 shown, including:

[0053] When the user is exercising, the video acquisition system will capture the user's exercise video;

[0054] ...

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Abstract

The invention relates to the technical field of intelligent equipment, in particular to an intelligent fitness action guiding method based on 3D reconstruction. The method comprises the steps of collecting a user motion video, and marking articulation point information of a human body; reconstructing a user 3D motion model for the user motion video; reading a standard 3D motion model; carrying outscale zooming matching on the user 3D motion model and different standard 3D motion models; selecting a standard 3D motion model with the highest similarity, and obtaining guide information to generate a correction guide video; the user sending out a gesture and generating a control instruction corresponding to the playing rate and the playing progress; and combining the received user motion video, the read standard action video, the guide information and the correction guide video into one video, and feeding back the video to the user through a screen. According to the invention, the 3D model is established for the collected motion video, the comparison and analysis result is provided for the user, and the playing progress is controlled through the gesture, so that the user can learn anduse conveniently.

Description

technical field [0001] The invention relates to the technical field of smart devices, in particular to a method for guiding smart fitness actions based on 3D reconstruction. Background technique [0002] With the rapid development of the times, people's quality of life continues to improve, and with the satisfaction of material life, more and more people begin to care about their physical and mental health. Today, with the ever-accelerating pace of life, home fitness exercises have become a popular choice for people. [0003] In the traditional learning ways of fitness exercises, there are mainly two ways of self-study by collecting relevant exercise data and guidance from gym coaches; the judgment of these two ways is mainly based on human experience. Human dependence is high, but efficiency is not high. And for the way of self-study, the feedback information in the user training process cannot be obtained and further guidance can be made. [0004] At present, in respons...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G11B27/10
CPCG11B27/10G06V40/23G06V20/42G06V40/67G06V10/751
Inventor 李海天黄颖杨振
Owner CHONGQING UNIV OF POSTS & TELECOMM
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