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Intelligent mirror design method based on automatic image recognition and motion model comparison

A technology of smart mirror and design method, applied in the field of image recognition, can solve the problems of shortage of instructors and inability to take care of students, and achieve the effect of timely and accurate feedback

Pending Publication Date: 2019-02-26
BEIJING UNIV OF POSTS & TELECOMM
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In addition, the smart mirror of the present invention can also be widely used in gymnasiums, dance classrooms, etc., to solve the problem of the shortage of instructors and the inability to take care of all students for a while

Method used

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  • Intelligent mirror design method based on automatic image recognition and motion model comparison
  • Intelligent mirror design method based on automatic image recognition and motion model comparison
  • Intelligent mirror design method based on automatic image recognition and motion model comparison

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Embodiment Construction

[0025] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0026] The invention provides a smart mirror design method based on automatic image recognition and action model comparison. In order to realize the functions of recognizing human bone images, extracting bone points, and calculating bone angles to achieve comparison with standard actions, the invention uses Win10x64+VS2017+ Kinect for Windows SDK v2.0+OpenCV3.3.0 development environment for program design and calculation. Such as figure 1 Shown flow process, described design method comprises the following steps:

[0027] Step 1, collect human body image by Kinect sensor;

[0028] The camera of the Kinect sensor includes an infrared camera and a depth camera, which can utilize the distance between the human body and the Kinect sensor to find the most likely area of ​​the human body, determine the edge of the target area by edge detec...

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PUM

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Abstract

The invention discloses an intelligent mirror design method based on automatic image recognition and action model comparison, belonging to the technical field of image recognition. The design method collects human body images through a Kinect sensor; Acquiring a human skeleton image according to the human body image; Human skeleton points are recognized according to human skeleton images. According to the skeleton point, calculate the skeleton angle, establish the actual movement model; Comparing the actual action model with the initialized standard action, the action fitting percentage is obtained. Actual actions and standard actions are displayed on the display screen and prompted in voice, text or image form. The intelligent mirror provided by the invention has the advantages of timelyand accurate feedback, and provides various prompt information such as voice and image.

Description

technical field [0001] The invention belongs to the technical field of image recognition, in particular to an intelligent mirror design method based on automatic image recognition and action model comparison. Background technique [0002] With the advancement of science and technology and the improvement of human living standards, people pay more and more attention to maintaining their own health, and fitness has gradually become an indispensable part of people's daily life. However, with the fast-paced modern life, more and more people do not have enough time to go to the gym to exercise, and there is no professional guidance for exercising at home, so many problems will inevitably occur, for example, the actions performed are inconsistent with the standard actions, But the people who do the movements don't notice it, or if they notice it, they can't correct it by themselves, etc., so the effect of fitness is greatly reduced. In the existing smart health products, most of ...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/34
CPCG06V40/20G06V40/10G06V10/267
Inventor 刘雅琼王智李一朱嘉良陈思宇
Owner BEIJING UNIV OF POSTS & TELECOMM
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