Optimization of physical education and training system based on machine learning and Internet of Things
In order to improve the effect of physical education and training, this paper combines machine learning technology to identify sports training features and action prediction, and combines Internet of Things technology to process physical education and training data, and build a physical education an...
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| Published in: | Neural computing & applications Vol. 34; no. 12; pp. 9273 - 9288 |
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| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
| Published: |
London
Springer London
01.06.2022
Springer Nature B.V |
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| ISSN: | 0941-0643, 1433-3058 |
| Online Access: | Get full text |
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| Abstract | In order to improve the effect of physical education and training, this paper combines machine learning technology to identify sports training features and action prediction, and combines Internet of Things technology to process physical education and training data, and build a physical education and training system based on machine learning and Internet of Things. In order to solve some shortcomings of the original extreme learning machine, this paper gradually optimizes the hidden layer mapping and parameter optimization to further improve the accuracy of prediction. Moreover, this paper uses the Internet of Things technology to achieve long-term uninterrupted data collection, and after the data have been processed to a certain extent, an extreme learning machine is used to predict the situation of sports training. Finally, this paper designs experiments to verify the performance of the system. The research results show that the physical education and training system constructed in this paper have certain practical effects and can optimize the physical education and training process. |
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| AbstractList | In order to improve the effect of physical education and training, this paper combines machine learning technology to identify sports training features and action prediction, and combines Internet of Things technology to process physical education and training data, and build a physical education and training system based on machine learning and Internet of Things. In order to solve some shortcomings of the original extreme learning machine, this paper gradually optimizes the hidden layer mapping and parameter optimization to further improve the accuracy of prediction. Moreover, this paper uses the Internet of Things technology to achieve long-term uninterrupted data collection, and after the data have been processed to a certain extent, an extreme learning machine is used to predict the situation of sports training. Finally, this paper designs experiments to verify the performance of the system. The research results show that the physical education and training system constructed in this paper have certain practical effects and can optimize the physical education and training process. |
| Author | Wang, Chenhang Du, Cong |
| Author_xml | – sequence: 1 givenname: Chenhang surname: Wang fullname: Wang, Chenhang organization: College of Physical Education, Xuchang University – sequence: 2 givenname: Cong surname: Du fullname: Du, Cong email: 12018001@xcu.edu.cn organization: College of Physical Education, Xuchang University |
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| Cites_doi | 10.1016/j.jphysparis.2015.02.003 10.4085/1002103 10.1111/ecin.12102 10.14355/tlist.2014.03.009 10.1075/sll.18.1.02puu 10.4236/opj.2016.68B026 10.1186/s40064-016-3108-2 10.1016/j.measurement.2014.09.063 10.1007/s00426-015-0672-y 10.1249/JSR.0000000000000601 10.1016/j.jmbbm.2014.09.018 10.14257/ijmue.2015.10.9.03 10.1007/978-3-319-13117-7_67 10.1016/j.ptsp.2016.06.003 |
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| References_xml | – volume: 52 start-page: 1561 issue: 4 year: 2019 end-page: 1564 ident: CR8 article-title: The Simulation of table tennis during the course of sports[J] publication-title: Carib J Sci – volume: 25 start-page: 884 issue: 6 year: 2017 end-page: 887 ident: CR22 article-title: Low-dimensional feature vector extraction from motion capture data by phase plane analysis[J] publication-title: J Info Process – volume: 109 start-page: 53 issue: 1–3 year: 2015 end-page: 63 ident: CR2 article-title: How kinesthetic motor imagery works: a predictive-processing theory of visualization in sports and motor expertise[J] publication-title: J Physiol-Paris doi: 10.1016/j.jphysparis.2015.02.003 – volume: 10 start-page: 103 issue: 2 year: 2015 end-page: 112 ident: CR5 article-title: The effect of high-fidelity cardiopulmonary resuscitation (CPR) simulation on athletic training student knowledge, confidence, emotions, and experiences[J] publication-title: Athl Train Educ J doi: 10.4085/1002103 – volume: 76 start-page: 1 issue: 15 year: 2016 end-page: 16 ident: CR14 article-title: Multiresolution coding of motion capture data for real-time multimedia applications[J] publication-title: Multimed Tools App – volume: 53 start-page: 731 issue: 1 year: 2015 end-page: 744 ident: CR7 article-title: Competitive balance measures in sports leagues: the effects of variation in season length[J] publication-title: Econ Inq doi: 10.1111/ecin.12102 – volume: 37 start-page: 1 issue: 7 year: 2017 end-page: 8 ident: CR19 article-title: In vivo bone position measurement using high-frequency ultrasound validated with 3-D optical motion capture systems: a feasibility study[J] publication-title: J Med Bio Eng – volume: 130 start-page: 1397 issue: 2 year: 2016 end-page: 1407 ident: CR16 article-title: Low-cost 3D motion capture system using passive optical markers and monocular vision[J] publication-title: Optik Int J Light Electron Optics – volume: 3 start-page: 57 issue: 2 year: 2014 end-page: 62 ident: CR21 article-title: Research on protection property of running sportswear fabrics based on 3-D motion capture system[J] publication-title: Textiles Light Indus Sci Technol doi: 10.14355/tlist.2014.03.009 – volume: 8 start-page: 215 issue: 3 year: 2016 end-page: 228 ident: CR4 article-title: Computer simulation of junior gymnasts’ training process[J] publication-title: Sci Gymnast J – ident: CR11 – volume: 18 start-page: 41 issue: 1 year: 2015 end-page: 89 ident: CR15 article-title: Head movements in finnish sign language on the basis of motion capture data: a study of the form and function of nods, nodding, head thrusts, and head pulls[J] publication-title: Sign Lang Linguist doi: 10.1075/sll.18.1.02puu – volume: 06 start-page: 155 issue: 8 year: 2016 end-page: 163 ident: CR20 article-title: Application of optical motion capture technology in power safety entitative simulation training system[J] publication-title: Optics Photonics J doi: 10.4236/opj.2016.68B026 – volume: 5 start-page: 1 issue: 1 year: 2016 end-page: 13 ident: CR1 article-title: Big data and tactical analysis in elite soccer: future challenges and opportunities for sports science[J] publication-title: Springerplus doi: 10.1186/s40064-016-3108-2 – volume: 15 start-page: 243 issue: 3 year: 2017 end-page: 250 ident: CR17 article-title: Analysis of finger movements of a pianist using magnetic motion capture system with six dimensional position sensors[J] publication-title: Trans Virtual Real Soc Japan – volume: 59 start-page: 352 issue: 5 year: 2015 end-page: 362 ident: CR18 article-title: 3D displacement measurement model for health monitoring of structures using a motion capture system[J] publication-title: Measurement doi: 10.1016/j.measurement.2014.09.063 – volume: 80 start-page: 496 issue: 4 year: 2016 end-page: 509 ident: CR3 article-title: An action-incongruent secondary task modulates prediction accuracy in experienced performers: evidence for motor simulation[J] publication-title: Psychol Res doi: 10.1007/s00426-015-0672-y – volume: 21 start-page: 1167 issue: 12 year: 2015 end-page: 1172 ident: CR12 article-title: Performance improvement of an AHRS for motion capture[J] publication-title: J Institute Control – volume: 8 start-page: 32 year: 2015 end-page: 40 ident: CR6 article-title: Simulation of process of 14–15 years old girls’ training of light athletic and gymnastic exercises[J] publication-title: Pedag, Psychol, Med-Biol Probl Phys Train Sports – volume: 18 start-page: 210 issue: 6 year: 2019 end-page: 216 ident: CR9 article-title: Musculoskeletal simulation tools for understanding mechanisms of lower-limb sports injuries[J] publication-title: Curr Sports Med Rep doi: 10.1249/JSR.0000000000000601 – ident: CR23 – volume: 41 start-page: 336 issue: 5 year: 2015 end-page: 356 ident: CR10 article-title: The evaluation of new multi-material human soft tissue simulants for sports impact surrogates[J] publication-title: J Mech Behav Biomed Mater doi: 10.1016/j.jmbbm.2014.09.018 – volume: 10 start-page: 17 issue: 9 year: 2015 end-page: 30 ident: CR13 article-title: A survey of motion capture data earning as high dimensional time series[J] publication-title: Int J Multimed Ubiquitous Eng doi: 10.14257/ijmue.2015.10.9.03 – volume: 10 start-page: 17 issue: 9 year: 2015 ident: 6278_CR13 publication-title: Int J Multimed Ubiquitous Eng doi: 10.14257/ijmue.2015.10.9.03 – volume: 21 start-page: 1167 issue: 12 year: 2015 ident: 6278_CR12 publication-title: J Institute Control – volume: 25 start-page: 884 issue: 6 year: 2017 ident: 6278_CR22 publication-title: J Info Process – ident: 6278_CR11 doi: 10.1007/978-3-319-13117-7_67 – volume: 18 start-page: 41 issue: 1 year: 2015 ident: 6278_CR15 publication-title: Sign Lang Linguist doi: 10.1075/sll.18.1.02puu – volume: 37 start-page: 1 issue: 7 year: 2017 ident: 6278_CR19 publication-title: J Med Bio Eng – volume: 3 start-page: 57 issue: 2 year: 2014 ident: 6278_CR21 publication-title: Textiles Light Indus Sci Technol doi: 10.14355/tlist.2014.03.009 – volume: 10 start-page: 103 issue: 2 year: 2015 ident: 6278_CR5 publication-title: Athl Train Educ J doi: 10.4085/1002103 – volume: 52 start-page: 1561 issue: 4 year: 2019 ident: 6278_CR8 publication-title: Carib J Sci – ident: 6278_CR23 doi: 10.1016/j.ptsp.2016.06.003 – volume: 15 start-page: 243 issue: 3 year: 2017 ident: 6278_CR17 publication-title: Trans Virtual Real Soc Japan – volume: 59 start-page: 352 issue: 5 year: 2015 ident: 6278_CR18 publication-title: Measurement doi: 10.1016/j.measurement.2014.09.063 – volume: 8 start-page: 32 year: 2015 ident: 6278_CR6 publication-title: Pedag, Psychol, Med-Biol Probl Phys Train Sports – volume: 5 start-page: 1 issue: 1 year: 2016 ident: 6278_CR1 publication-title: Springerplus doi: 10.1186/s40064-016-3108-2 – volume: 53 start-page: 731 issue: 1 year: 2015 ident: 6278_CR7 publication-title: Econ Inq doi: 10.1111/ecin.12102 – volume: 109 start-page: 53 issue: 1–3 year: 2015 ident: 6278_CR2 publication-title: J Physiol-Paris doi: 10.1016/j.jphysparis.2015.02.003 – volume: 06 start-page: 155 issue: 8 year: 2016 ident: 6278_CR20 publication-title: Optics Photonics J doi: 10.4236/opj.2016.68B026 – volume: 80 start-page: 496 issue: 4 year: 2016 ident: 6278_CR3 publication-title: Psychol Res doi: 10.1007/s00426-015-0672-y – volume: 8 start-page: 215 issue: 3 year: 2016 ident: 6278_CR4 publication-title: Sci Gymnast J – volume: 76 start-page: 1 issue: 15 year: 2016 ident: 6278_CR14 publication-title: Multimed Tools App – volume: 18 start-page: 210 issue: 6 year: 2019 ident: 6278_CR9 publication-title: Curr Sports Med Rep doi: 10.1249/JSR.0000000000000601 – volume: 41 start-page: 336 issue: 5 year: 2015 ident: 6278_CR10 publication-title: J Mech Behav Biomed Mater doi: 10.1016/j.jmbbm.2014.09.018 – volume: 130 start-page: 1397 issue: 2 year: 2016 ident: 6278_CR16 publication-title: Optik Int J Light Electron Optics |
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| Title | Optimization of physical education and training system based on machine learning and Internet of Things |
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