Auxiliary sports training method based on artificial intelligence

A technology of artificial intelligence and training methods, applied in the field of artificial intelligence, to achieve strong adaptability, high robustness, and good scalability

Active Publication Date: 2019-12-17
ZHENGZHOU UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] For above-mentioned situation, in order to overcome the defective of prior art, the object of the present invention is to provide a kind of artificial intelligence-based sports ...

Method used

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  • Auxiliary sports training method based on artificial intelligence
  • Auxiliary sports training method based on artificial intelligence
  • Auxiliary sports training method based on artificial intelligence

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Experimental program
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Embodiment 1

[0020] Embodiment one, refer to figure 1 , Sports auxiliary training mainly includes six parts: modeling users, preprocessing data, providing original recommendation algorithms, processing interactive information, enriching user profile data to improve recommendation quality;

[0021] The user modeling process described therein is to collect the trainer's name, gender, age, weight, height, and project questionnaires about single-shake double-foot hop;

[0022] The preprocessing of the data includes converting the string k into a value i by using the key-value pair {k,i}, including numericalizing the gender {"female", 0}, {"male", 1} , to extract the content of the questionnaire for preprocessing;

[0023] The recommendation algorithm described therein is to formulate a set of training strategies for each person based on the personal profile data, and use the personal profile data and training strategy data to construct a user model, and establish a recommendation model throug...

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Abstract

The invention discloses an auxiliary sports training method based on artificial intelligence. A user model is built according to personal archive data and training strategy data of a trainee; a recommendation model is built through a collaborative filtering recommendation algorithm; and recommendation of training strategies is provided for subsequent trainees. During training, an exercise duration, image data, exercise video data and interactive data of the trainee are collected; the video data and the image data in the exercise training process are analyzed; the physical ability and the exercise intensity of the trainee are evaluated according to an exercise result; and the result obtained by the video data and the image data in the exercise training process and other data in the trainingprocess are added into a personal archive as exercise records. The quality and precision of the recommendation algorithm are improved by updating the user model; and the problems of exercise analysisand action quality evaluation in the exercise training process are solved.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to an artificial intelligence-based sports auxiliary training method. Background technique [0002] In recent years, with the development and application of computer technology and artificial intelligence, human motion analysis technology based on artificial intelligence has risen rapidly and received extensive attention. At present, human motion analysis based on artificial intelligence is still a very challenging subject, involving multiple disciplines such as image processing, pattern recognition, signal processing, artificial intelligence, etc. Has broad application prospects; [0003] Human motion analysis is a kind of research on human behavior analysis. At present, most of the research in human motion analysis is on motion recognition. Whether the action meets the specification and where it needs to be improved. Since the human body is an individual creatur...

Claims

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Application Information

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IPC IPC(8): A63B71/06A63B71/00
CPCA63B71/00A63B71/06A63B71/0619A63B2071/0691
Inventor 赵红领崔莉亚李润知刘浩东
Owner ZHENGZHOU UNIV
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