Design and Implementation of College Students’ Physical Fitness Test Management System Using IoT Smart Sensors

Abstract

As science and technology continue to advance and life standards continue to improve, poor living and study habits are common among today’s college students, making their physical health deteriorate. At present, the physical fitness test management system of college students is not perfect. This paper studies the physical fitness test administration system for college students based on IoT smart sensors. It first briefly introduces the design of the physical health test management system and then proposes the IoT smart sensor network algorithm. With the rapid development of IoT, WSN has also grown rapidly as an important technical form of the underlying perception layer of the IoT. Then, this paper tests the data of the college students’ physical fitness test management system under the Grey Relational analysis, and finally, it conducts an experimental discussion on the realization and testing of the college students’ physical health management system. The experimental results of this paper showed that the college students’ physical fitness test management system through the Internet of Things smart sensor can quickly respond to the visits of multiple clients, with relatively high processing efficiency, and the efficiency is increased by 60%. The practical interface designed and implemented by this system has excellent practicality. The system interface uses a light blue background, which has good comfort in application, and the system has complete functions, which can meet the general requirements of university system health management.

Exploring the Effectiveness of a Battery of Physical Fitness Tests via Virtual Learning Environment

“…Students' body mass indexes likely improved because of the PFTs they were required to do, even though the course was delivered entirely online. These results corroborated those of previous studies that had shown that online fitness assessments were effective (Apriyanto & Adi, 2021;Xu et al, 2022) XI and XII sample using total sampling. There are 346 respondes.…”

“…al., it was found that the replacement of in-person physical education with its online counterpart in 2020 had negative effects on pull-ups and 800-/1000-metre runs but had significantly positive effects on other items [50-m run, sit-ups, standing long jump, pull-ups (males), and sit-and-reach (females)]; these findings are consistent with the study of Xia et al (2021). Additionally, the experimental study of Xu et al (2022) found that integrating an IoT smart sensor into a system for managing college students' physical fitness test results improves process efficiency by 60%, allowing the system to more quickly respond to diverse clientele. Likewise, the findings on the study of Ashley and Kawabata (2021), fitness test results from Singaporean students were mainly positive.…”

Orthodox versus virtual approach in the administration of battery of physical fitness tests in the higher education context

“…According to the findings of Sun et al it was discovered that the replacement of facetoface physical education with its internetbased counterpart in 2020 had negative effects on pullups and 800/1000meter runs but had significant beneficial impacts on other items [50m run, situps, standing long jump, pullups (males), and sitandreach (females]; these findings are consistent with the study of [38]. In addition, the empirical research conducted by [39] discovered that the incorporation of an Internet of Things (IoT) smart sensor into a system for handling the results of physical fitness tests administered to college students improved the process efficiency by sixty percent, hence enabling the system to more swiftly respond to a variety of prospects. Likewise, the mobile application developed and designed by [40] that focuses on multimedia feature, behavior of controls and system information, overall interface and customizability/support for user preferences has been tested to be viable tool as an alternative mode of tracking and computing the physical fitness level of the students.…”

“…The male 50m dash dropped 0.1 s, the male 1,000m race dropped 14 s, while the female 800m race dropped 11 s. Notably, the proportion of male obesity, based on BMI, climbed from 10.6 to 15.2% and 17.1 to 21.8% for male overweight, while the percentage of male normal weight fell from 55.9 to 51.9% and 16.4 to 11.1% for male thinness. Finally, the findings of [39] have revealed that the college students' physical fitness test management system through the Internet of Things smart sensor can swiftly respond to repeated customer visits with reasonably high processing efficiency, increasing efficiency by 60%. However, the studies that were aforementioned above are not the same in terms of the tests that were administered to the participants of this study.…”

Retracted: Design and Implementation of College Students’ Physical Fitness Test Management System Using IoT Smart Sensors

“…This article has been retracted by Hindawi, as publisher, following an investigation undertaken by the publisher [1]. This investigation has uncovered evidence of systematic manipulation of the publication and peer-review process.…”