Physical fitness data monitoring of college students based on the internet of things and blockchain

被引:5
作者
Sang, Yunpeng [1 ]
Wang, Lijun [2 ]
机构
[1] Changshu Inst Technol, Sport Dept, Suzhou, Peoples R China
[2] Yulin Normal Univ, Inst Phys Educ & Hlth, Yulin, Peoples R China
关键词
physical fitness data monitoring; blockchain technology; internet of things; data collection; blockchain system;
D O I
10.3389/fpubh.2022.940451
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Contemporary college students are the pillars of the country and bear the responsibility of building a great country. College students should not only have smart brains, but also have strong bodies. The state has always attached great importance to the physical condition of college students and has promulgated a series of relevant policies and regulations to ensure the effective development of college students' physical health work. This paper aims to monitor and research college students' physical fitness data based on the Internet of Things and blockchain technology. This paper first introduces the data collection based on the Internet of Things, the Internet of Things data collection system has good versatility, ease of use, and quite rich functions, which can realize the collection and reliable transmission of different environmental data. Then focuses on the data collection and confidentiality technology based on blockchain. Each user in the blockchain system has a pair of public and private keys, and elliptic curve algorithms are usually used to generate public key cryptography. Finally, based on the Internet of Things and blockchain technology, the physical fitness data of college students is analyzed and researched. The experimental results of this paper show that, according to the data collection technology of the Internet of Things and blockchain, the analysis of variance is carried out on the data of male pull-ups and female sit-ups of 2019 students. The analysis of variance F of boys' pull-ups is 76.222, and the significance is about 0, that is, P < 0.01. The difference is very obvious, which proves that there is a significant difference in boys' pull-ups in the past 3 years. The analysis of variance F for girls' sit-ups is 89.187, and the significance is about 0. Similarly, it shows that there are significant differences in girls' sit-ups in the past 3 years. Therefore, the existing teaching mode is stabilized and physical exercise is enhanced. Meanwhile, to enhance the physical fitness of students, it is necessary to strengthen the strength of physical education teachers and increase the introduction of sports talents and business training.
引用
收藏
页数:14
相关论文
共 50 条
  • [31] Blockchain-based Internet of Musical Things
    Turchet, Luca
    Ngo, Chan Nam
    BLOCKCHAIN-RESEARCH AND APPLICATIONS, 2022, 3 (03):
  • [32] Blockchain and Internet of Things Data Provider for Smart Applications
    Florea, Bogdan Cristian
    2018 7TH MEDITERRANEAN CONFERENCE ON EMBEDDED COMPUTING (MECO), 2018, : 212 - 215
  • [33] An anonymous authentication and secure data transmission scheme for the Internet of Things based on blockchain
    Chen, Xingxing
    Cheng, Qingfeng
    Yang, Weidong
    Luo, Xiangyang
    FRONTIERS OF COMPUTER SCIENCE, 2024, 18 (03)
  • [34] A secure and extensible blockchain-based data provenance framework for the Internet of Things
    Sigwart, Marten
    Borkowski, Michael
    Peise, Marco
    Schulte, Stefan
    Tai, Stefan
    PERSONAL AND UBIQUITOUS COMPUTING, 2020, 28 (1) : 309 - 323
  • [35] A secure and extensible blockchain-based data provenance framework for the Internet of Things
    Marten Sigwart
    Michael Borkowski
    Marco Peise
    Stefan Schulte
    Stefan Tai
    Personal and Ubiquitous Computing, 2024, 28 : 309 - 323
  • [36] Secure Data of Industrial Internet of Things in a Cement Factory Based on a Blockchain Technology
    Umran, Samir M.
    Lu, Songfeng
    Abduljabbar, Zaid Ameen
    Zhu, Jianxin
    Wu, Junjun
    APPLIED SCIENCES-BASEL, 2021, 11 (14):
  • [37] An Efficient Blockchain-Based Hierarchical Data Sharing for Healthcare Internet of Things
    Zhang, Jiawei
    Yang, Yanbo
    Liu, Ximeng
    Ma, Jianfeng
    IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2022, 18 (10) : 7139 - 7150
  • [38] An anonymous authentication and secure data transmission scheme for the Internet of Things based on blockchain
    Xingxing Chen
    Qingfeng Cheng
    Weidong Yang
    Xiangyang Luo
    Frontiers of Computer Science, 2024, 18
  • [39] Indoor data acquisition and monitoring system based on Internet of things
    Ren Ke-qiang
    Wang Chuan-qiang
    CHINESE JOURNAL OF LIQUID CRYSTALS AND DISPLAYS, 2020, 35 (02) : 136 - 142