Advanced Artificial Intelligence and Big Data Algorithm in Aerobics Formation Transformation Route Simulation Research

Author:

Shou Minchao1ORCID,Ma Chao2,Che Lei3ORCID

Affiliation:

1. School of Department of Public Physical Art Education, Zhejiang University, Hangzhou 310058, Zhejiang, China

2. School of Department of Physical Education, Zhejiang International Studies University, Hangzhou 310023, Zhejiang, China

3. Department of Physical Education, Peking University, Beijing 100871, China

Abstract

Aerobics formation is a type of sport that can be performed for long periods with the aid of music. Traditional aerobic sports have influenced the development of the competitive aerobics training service project, which has racing as one of its primary goals. Transformation of aerobics training uses seven fundamental steps, diverse dynamics, and complete execution of challenging exercises to display the competitive athletics abilities of health, strength, and beauty. The challenging characteristics of aerobics formation transformation route simulation include aerobic fitness level from the beginning, the intensity of training, frequency of coaching, condition of heart disease, blood pressure, high distance running, and increasing repeated exercise, which can develop significant problems. This paper introduces an advanced artificial intelligence (AI) assisted by big data algorithm (BD) for the simulation of aerobics formation (AF) to enhance overall fitness; cardio is a sort of activity that involves physical endurance with flexibility and muscle toning. The research of AIBD-AF has many advantages like reducing the danger to your health and strengthening the heart’s muscular fibers with stamina. It is good for cardiovascular arteries since it removes clogs. The immune system is expanded, and aids in better managing long-term ailments and also keeps the body fit as you get older and weaker. In addition to improving fitness levels, aerobics also helps to teach the heart and lungs to carry oxygen to the entire body more effectively.

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Modeling and Simulation

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