Unmanned body building analysis method based on artificial intelligence
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An analysis method and artificial intelligence technology, applied in physical therapy or behavior, can solve problems such as the inability to automatically guide fitness movements, the inability to judge movements, and the inability to provide fitness guidance.
Inactive Publication Date: 2020-07-07
杭州大数云智科技有限公司
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[0004] For basic teaching courses, in the training ground, general coaches directly instruct students to correct movements, but when there is no one to supervise, they cannot judge whether the movements are standard
And so far, most of the fitness guidance apps on the market are only recorded coaching action videos, but there is no function for interacting with user actions
[0005] In daily or special circumstances, people who exercise at home cannot experience intelligent online fitness training, and require manual guidance from coaches, which cannot avoid personnel contact. Moreover, the existing fitness guidance APP is poorly intelligent and cannot automatically guide fitness Sports actions, unable to provide scientific fitness guidance
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Embodiment 1
[0058] Embodiment one: if figure 1 As shown, it is only one of the embodiments of the present invention, a kind of unmanned fitness analysis method based on artificial intelligence, comprising the following steps:
[0059] S1: Define the rules for sports index analysis based on the key points of the human body, and generate a rule table;
[0060] Generally speaking, in the APP that implements this method, a set of standard movements is input in advance, the human body is standardized, and each point of the human body is digitized, that is, the standard movements are digitized as the movement standard of the athlete.
[0061] Generally speaking, when step S1 is performed, a trainer makes standard fitness movements, directly uses the depth camera to extract the key point information of the human body, obtains the number and position of the specified human skeleton points, generates rule indicators, and records them one by one in the rule table , where the regular indicators inc...
Embodiment 2
[0081] Embodiment two: if Figures 1 to 2 As shown, it is only one of the embodiments of the present invention, an artificial intelligence-based unmanned fitness analysis method, and the parameter analysis of the skeleton point is specifically as follows:
[0082] First of all, in the human body joint point labeling diagram, the key points corresponding to the serial numbers are: 0-nose, 1-neck, 2-right shoulder, 3-right elbow, 4-right wrist, 5-left shoulder, 6-left elbow, 7- Left wrist, 8-right hip, 9-right knee, 10-right ankle, 11-left hip, 12-left knee, 13-left ankle, 14-right eye, 15-left eye, 16-right ear, 17-left ear, other joint points can be defined according to the actual situation.
[0083] 1. Calculation method of angle A:
[0084] Such as figure 2 As shown, the coordinate system is established with the key point 4 (right wrist) as the origin, up U, down D, left L, right R, there are four directions, which means that other key points can be found relative to key...
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Abstract
The invention provides an unmanned body building analysis method based on artificial intelligence, and relates to the field of unmanned body building technology. The method comprises the following steps of S1, defining a motion index analysis rule based on human body key points, and generating a rule table; S2, acquiring a motion image of a sporter, and acquiring framework point information of thesporter; S3, inputting the acquired framework point information into a rule table; and S4, determining whether an error value between the generated framework point information and the data in the rule table is lower than a preset threshold, if yes, determining a fact that the action is qualified, and otherwise, outputting error framework point information. According to the unmanned body buildinganalysis method, by means of technologies such as artificial intelligence, big data, cloud computing and body feeling control, health intelligent body building guidance is generated for aiming at a household scene, thereby realizing identification, tracking and positioning of mass motion video image data for realizing management. Body building guidance such as motion exercise, body building guidance and sports rehabilitation is researched. Furthermore multifunctional and intelligent sports body building analysis and guidance are performed.
Description
technical field [0001] The invention relates to the technical field of unmanned fitness, [0002] In particular, the present invention relates to an artificial intelligence-based unmanned fitness analysis method. Background technique [0003] The rise of the national fitness movement has promoted the development of intelligent sports analysis systems. Now more and more sports fields or fitness industries have successively developed sports analysis systems. [0004] For basic teaching courses, in the training field, general coaches directly instruct students to correct movements, but when there is no one to supervise, they cannot judge whether the movements are standard. And so far, most of the fitness guidance apps on the market are only recorded coaching action videos, but there is no function for interacting with user actions. [0005] In daily or special circumstances, people who exercise at home cannot experience intelligent online fitness training, and require manual ...
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