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Equestrian Sports Posture Information Detection and Information Service Resource Aggregation System Based on Mobile Edge Computing
- Source :
- Mobile Information Systems, Vol 2021 (2021)
- Publication Year :
- 2021
- Publisher :
- Hindawi Limited, 2021.
-
Abstract
- Equestrianism is a special sport. Equestrian sports have become popular in people’s lives and have also developed rapidly in our country, becoming a trend. This paper aims to study the equestrian sports posture information detection and information service resource aggregation system based on mobile edge computing. The research of equestrian sports can greatly promote future development. For this reason, we use the power of science and technology to study the equestrian sports posture and make an equestrian sports posture information detection system. The system is designed to feed back the riding posture in real time and can provide equestrian athletes with a more scientific and healthier equestrian training posture. In order to fully verify the practicability of the system, at the end of the forum, the performance of the entire monitoring platform was tested, and three tests were designed, respectively: packet loss rate test, driving test, and riding test. The driving test proves the validity of data transmission, and the riding test proves the practicability of the monitoring platform’s functions. The test results show that the maximum data packet loss rate is 0.6%, which can fully confirm that the monitoring platform has sufficient technical practicability, no problems have been found in practical applications, and it has good market and application prospects.
- Subjects :
- Feed back
Service resource
Mobile edge computing
Article Subject
Driving test
Computer Networks and Communications
Computer science
Network packet
020206 networking & telecommunications
TK5101-6720
02 engineering and technology
Computer Science Applications
Test (assessment)
Order (exchange)
Human–computer interaction
Telecommunication
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Loss rate
Subjects
Details
- ISSN :
- 1875905X and 1574017X
- Volume :
- 2021
- Database :
- OpenAIRE
- Journal :
- Mobile Information Systems
- Accession number :
- edsair.doi.dedup.....b2aa3c421491061f82bf366bc15a141b