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Exercise plan generation method based on multi-objective optimization algorithm

A multi-objective optimization and motion planning technology, applied in computing, computing models, artificial life, etc., can solve the problem of individuation of objects that cannot be moved.

Active Publication Date: 2021-09-10
XIAN UNIV OF TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] The purpose of the present invention is to provide a method for generating a motion plan based on a multi-objective optimization algorithm, which solves the problem in the prior art that it is impossible to provide personalized guidance for the athlete's personal physical condition and motion goals

Method used

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  • Exercise plan generation method based on multi-objective optimization algorithm
  • Exercise plan generation method based on multi-objective optimization algorithm
  • Exercise plan generation method based on multi-objective optimization algorithm

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Embodiment Construction

[0079] The present invention will be described in detail below with reference to the accompanying drawings and specific embodiments.

[0080] A method of generating a motion plan based on a multi-objective optimization algorithm, figure 1 As shown, specifically, according to the following steps:

[0081] Step 1, obtain the required user attribute according to the data in the user database, and calculate the moving amount W; specifically:

[0082] Step 1.1, depending on the user attribute required in the user database, the user attribute is name, gender, age, height, weight, the name, prescription intensity, prescription, prescription frequency of the prescription frequency;

[0083] Step 1.2, store the user attribute obtained by step 1.1 into a new data table, form new user data, and use prescription strength Q 处 , Prescription time t 处 , Prescription frequency P 处 Use the formula (1) to calculate the amount of motion W:

[0084] W = Q 处 * T 处 * P 处 (1).

[0085] Step 2. Get the c...

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Abstract

The invention discloses an exercise plan generation method based on a multi-objective optimization algorithm. The method is specifically implemented according to the following steps: 1, obtaining the required user attributes according to data in a user database, and calculating exercise amount; 2, acquiring course attributes of courses in a course library, and classifying the courses; 3, defining an objective function and to-be-optimized parameters according to a course classification result in the step 2 and the exercise amount in the step 1; 4, optimizing the target function by adopting an artificial raindrop algorithm to obtain optimized parameters; 5, calculating the similarity of parameters corresponding to the courses in each class of course library corresponding to the optimized parameters; and 6, combining the courses with the highest similarity in each class calculated in the step 5, and generating a final personalized exercise course plan. The problem that in the prior art, personalized guidance cannot be made for the physical condition and the exercise target of a sporter is solved.

Description

Technical field [0001] TECHNICAL FIELD The present invention generates the motion program belongs to the program, to a method for generating a motion plan based on the algorithm for multiobjective optimization. Background technique [0002] With the development of society, while improving people's material life, for health concerns have gradually improved, more and more people carry on fitness, sports and fitness programs are also diverse. The people's choice of sport does not have specialized courses, one to one fitness instruction nor universal. Thus generating a personalized exercise program curriculum motion effect athlete plays a vital role. [0003] Methods currently exist to guide the movement of course mostly not for individual athlete's physical condition to make a moving target and personalized mentoring program, and can not ensure the diversity and sports Movement of satisfaction with the course curriculum. Movement wants to achieve the desired effect of movement and e...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06N3/00
CPCG06Q10/04G06N3/006Y04S10/50
Inventor 王磊徐消波张梦云江巧永王焱龙孙倩
Owner XIAN UNIV OF TECH
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