An emergency response system created to combat injuries during physical education training in a university using deep learning.
Purpose: The main goal of the physical education (PE) environment is that each individual trained should achieve self-fulfillment with the large group of students involved with their own efforts. Deep learning is applying transferrable knowledge in new situations to help the students master in tough...
| Published in: | Electronic Library Vol. 39; no. 4; pp. 505 - 526 |
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| Main Authors: | , , |
| Format: | equations & formulas pictorial tables/charts Journal Article |
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Emerald Publishing Limited
2021
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=153418825&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 153418825 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 02640473 2OJ jtl: Electronic Library issn: 02640473 maglogo: N pubinfo: dt: 2021 vid: 39 iid: 4 pid: 465 pub: Emerald Publishing Limited artinfo: ui: 153418825 153418825 153418825 10.1108/EL-07-2020-0175 153418825 ppf: 505 ppct: 21 formats: tig: atl: An emergency response system created to combat injuries during physical education training in a university using deep learning. aug: au: Leilei, Wang Rajendiran, Sowmipriya Gayathri, K. affil: Huaihua University, Huaihua, China sug: subj: Deep Learning Colleges and Universities Physical Education and Training Wounds and Injuries Prevention and Control Deep Learning Utilization Emergency Medical Services Safety Human Global Positioning System Models, Theoretical Students, College Life Style Neural Networks (Computer) Psychological Well-Being Artificial Intelligence Liberal Arts Education Fractures Brain Concussion ab: Purpose: The main goal of the physical education (PE) environment is that each individual trained should achieve self-fulfillment with the large group of students involved with their own efforts. Deep learning is applying transferrable knowledge in new situations to help the students master in tough circumstances. In PE training, injuries occur when working together as a team. Safety measures are taken immediately as an emergency response to reduce the potential risk in students by providing first aid. To provide safety measures for the injured student immediately, the environment is monitored in real-time using a GPS. Design/methodology/approach: Theory of Humanities Education (ToHE) infers that it has less collection of theories and a wide range of applications than the state-of-the-art systems. ToHE allows students to think creatively and play a vital role in one's health which is a critical aspect in PE. The ToHE theory focuses on two main concepts, i.e. by using a methodological approach to analyse and deep learning to solve the problem. PE motivates college students to follow a healthy and active lifestyle. Findings: The proposed system is deployed in real time for monitoring the student's performance and provides an emergency response with an accuracy rate of 90%. Originality/value: The deep learning offers solutions to the injuries by using the deep convolutional neural network to provide interpretability of the consequence by training it with various injuries that occur in the playground and inappropriate use of sports equipment. A case study provided in this paper outlines an emergency response scenario to an injured student in sports training. pubtype: Academic Journal doctype: equations & formulas pictorial tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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