Assessing IoT-based college physical education relies on human-computer interaction

被引:0
作者
Zhang, Ping [1 ]
Sun, Juntao [2 ]
机构
[1] Qiqihar Univ, Sch Phys Educ, Qiqihar, Heilongjiang, Peoples R China
[2] Qiqihar Med Univ, Dept Phys Educ, Qiqihar, Heilongjiang, Peoples R China
关键词
Physical education; Internet of Things; Human-computer interaction; Healthcare; FRAMEWORK; INTERNET; THINGS; SYSTEM;
D O I
10.1007/s00500-023-07993-5
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
New technologies, such as the Internet of Things (IoT) and human-computer interaction (HCI), have enabled a variety of tasks to be carried out quickly and effectively. Both of these technologies can be combined to improve physical education (PE) at the college level and at a higher level. The overall development and evolution of students depend on their participation in sports. Different intelligent and highly interactive platforms for the students' PE-based education can be designed with the integration of IoT and HCI. The proposed study discussed a variety of methods for identifying athletes in images and videos while they are practicing. It was discovered that wearable and portable technologies that make it simple to maintain track of a player's health during physical activity can be created using the IoT. The students can learn about physical activities in a customized learning environment using the smart IoT-grounded learning paradigm. They can impart important knowledge in a very upbeat way. Numerous qualities are found in the current literature after rigorous investigation, and the most significant ones are chosen for the decision-making process. For the purpose of rating the potential options according to the chosen characteristics, the study employed the graph theory matrix approach. The option with the highest permanent function value came in first and the one with the lowest value came in last. The current investigation has given consideration to offering a comprehensive overview of the data that is currently available on the subject of study. The study demonstrates many methods for analyzing literature, enabling students to create fresh perspectives on the topic.
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收藏
页数:10
相关论文
共 25 条
[11]   A systematic literature review on Internet of things in education: Benefits and challenges [J].
Kassab, Mohamad ;
DeFranco, Joanna ;
Laplante, Phillip .
JOURNAL OF COMPUTER ASSISTED LEARNING, 2020, 36 (02) :115-127
[12]   IoT-assisted physical education training network virtualization and resource management using a deep reinforcement learning system [J].
Li, Qiang ;
Kumar, PriyanMalarvizhi ;
Alazab, Mamoun .
COMPLEX & INTELLIGENT SYSTEMS, 2022, 8 (02) :1229-1242
[13]  
Li YY., 2020, FRESEN ENVIRON BULL, V39, P934
[14]  
Liu H., 2022, WIREL COMMUN MOB COM, V1-6, P2022
[15]   Internet of Things Applications: Opportunities and Threats [J].
Rahmani, Amir Masoud ;
Bayramov, Suleyman ;
Kiani Kalejahi, Behnam .
WIRELESS PERSONAL COMMUNICATIONS, 2022, 122 (01) :451-476
[16]   Rapid prototyping process selection using graph theory and matrix approach [J].
Rao, R. Venkata ;
Padmanabhan, K. K. .
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2007, 194 (1-3) :81-88
[17]  
Rudin ARA, 2016, 2016 IEEE CONFERENCE ON WIRELESS SENSORS (ICWISE), P100, DOI 10.1109/ICWISE.2016.8188550
[18]  
Sun ZJ, 2021, TECHNOL HEALTH CARE, V29, P1263, DOI 10.3233/THC-213005
[19]   Optimization of physical education and training system based on machine learning and Internet of Things [J].
Wang, Chenhang ;
Du, Cong .
NEURAL COMPUTING & APPLICATIONS, 2022, 34 (12) :9273-9288
[20]   A New Physical Education Teaching System and Training Framework Based on Human-Computer Interaction and Auxiliary Interaction [J].
Xiong, Xiuzu .
INTERNATIONAL JOURNAL OF EMERGING TECHNOLOGIES IN LEARNING, 2021, 16 (14) :38-52