Abstract
In recent years, the increase in health awareness has made fitness activities more and more popular in families. The lack of professional guidance and real-time feedback during home fitness training is often a limiting factor. In order to solve this problem, a home fitness assistance system based on Android mobile network and optical sensing system is proposed in this study. The purpose of the system is to provide personalized fitness guidance and real-time feedback to help users effectively conduct fitness training in a home environment. In order to achieve this goal, this paper uses the advantages of Android mobile network to realize real-time interaction and communication between users and the system. A fitness detection system based on light sensing technology is designed, which can accurately monitor the user’s posture and movement, and provide corresponding feedback. Through the analysis of the experimental results, the home fitness assistance system has high accuracy and efficiency in providing personalized fitness guidance and real-time feedback. Users can choose the right training plan according to their needs and abilities, and get professional guidance and real-time feedback in the training process, so as to achieve better training results.
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Funding
This paper was supported by (1) The programme of Philosophy and Social Science Research of Jiangsu Province University: Research on Multiple linkage mechanism of youth sports public Service Promotion subject from the perspective of collaborative governance, No. 2023SJYB1257; (2) The programme of Philosophy and Social Science Foundation of Jiang Su Province: Research on Mechanism Innovation and Path of The Integration Between Sports and Hospital Under the Background of “Healthy Jiang Su 2030”, No. 20TYB010; (3) The programme of teaching and research of Jiangsu University of Technology, Research on the competence of college physical education teachers under the background of wisdom education, No.11611612303.
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Q.S. has done the first version, J.L. and L.L. has done the simulations. All authors have contributed to the paper’s analysis, discussion, writing, and revision.
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Si, Q., Liu, J. & Liu, L. Design of home fitness assistant system based on android mobile network and optical sensing system. Opt Quant Electron 56, 694 (2024). https://doi.org/10.1007/s11082-024-06550-0
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DOI: https://doi.org/10.1007/s11082-024-06550-0