Design and Practice of Aerobics Teaching Design Based on Data Fusion Algorithm
Open Access
- 11 January 2022
- journal article
- research article
- Published by Hindawi Limited in Wireless Communications and Mobile Computing
- Vol. 2022, 1-14
- https://doi.org/10.1155/2022/1275508
Abstract
Aerobic exercise is a very popular form of exercise. It combines various forms of sports and music. Aerobic exercise improves muscle tone and relaxes the mind and body while burning calories. It is designed to individualize instruction for different audiences. It is an important factor in the applicability of the operation. The purpose of this paper is to build different human models based on sensor network numbers to quantify different movements through the Internet of Things (IoT) to design personalized curriculum design and practice to improve the popularity of creative aerobics curriculum. In this paper, we first give an overview of the algorithm and data fusion algorithm and then simulate the aerobics creative curriculum design. First, the variance is used as the error measure to establish the data fusion algorithm and aerobics new concept innovation curriculum design and practice. The established model is compared with the aerobics curriculum design under the traditional model to highlight the advantages of the curriculum design under the data fusion algorithm. A comparison is also made with examples. The experimental results show that the data of the audiences movement changes during different creative processes solve the aerobics creative editing problem. Compared with the traditional curriculum design, the efficiency of the curriculum design and practice is improved by 20.23.Keywords
Funding Information
- Neijiang Normal University (JK202056)
This publication has 24 references indexed in Scilit:
- Covariance intersection‐based fusion algorithm for asynchronous multirate multisensor system with cross‐correlationIET Science, Measurement & Technology, 2017
- Theory and Software Implementations of Shor’s r-Algorithms*Cybernetics and Systems Analysis, 2017
- Android malware detection method based on naive Bayes and permission correlation algorithmCluster Computing, 2017
- Decision-Making Algorithm for Multisensor Fusion Based on Grey Relation and DS Evidence TheoryJournal of Sensors, 2016
- Data fusion algorithm for macroscopic fundamental diagram estimationTransportation Research Part C: Emerging Technologies, 2016
- Nonassisted adaptive algorithm for data fusion in distributed detection systems [Correspondence]IEEE Transactions on Aerospace and Electronic Systems, 2016
- Characterization of Vertical Accelerations Experienced by Older People Attending an Aerobics Class Designed to Produce High ImpactsJournal of Aging and Physical Activity, 2016
- Algorithms (and the) everydayInformation, Communication & Society, 2016
- Impact of brisk walking and aerobics in overweight womenJournal of Physical Therapy Science, 2016
- Processing of Multiresolution Thermal Hyperspectral and Digital Color Data: Outcome of the 2014 IEEE GRSS Data Fusion ContestIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015