Abstract
The concept of intelligent campus has been put forward for many years, aiming to provide high quality services dynamically and proactively for students, teachers and other employees in university in the era of Internet of Things. There exists a phenomenon that the health status of college students is continuously declining, which has aroused public concerns. This phenomenon could be improved via offering intelligent management services to college physical instructors by taking advantage of advanced Internet of Things (IoT) technologies. In this paper, a framework for group-centric physical education supporting system based on wristbands and cloud platform is proposed. The specific methods are divided into three parts based on event streams: IoT nodes networking and configuration before class, real-time health status monitoring and emergency detection in class, and students’ performance and course quality evaluation after class, which provide an overall insight into students’ fitness and exercise condition for the physical teachers. In addition, a prototype system is implemented for teaching test and to prove the feasibility of the proposed methodology, and the comparison of our proposed methods with other systems is also discussed.
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This research is supported by National Social Science Foundation of China(NSSFC) under Grant No. 18BTY082.
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Wang, L., Yu, H., Cao, Y., Zhou, X., Jiang, L., Cai, H. (2020). A Group-Centric Physical Education Supporting System for Intelligent Campus Application. In: Chao, KM., Jiang, L., Hussain, O., Ma, SP., Fei, X. (eds) Advances in E-Business Engineering for Ubiquitous Computing. ICEBE 2019. Lecture Notes on Data Engineering and Communications Technologies, vol 41. Springer, Cham. https://doi.org/10.1007/978-3-030-34986-8_3
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DOI: https://doi.org/10.1007/978-3-030-34986-8_3
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