Monitoring and management system for college students’ extracurricular physical exercise based on artificial intelligence

Using artificial intelligence recognition algorithms to identify extracurricular physical exercise behaviors of college students can help teachers improve the efficiency of extracurricular management, improve student safety and physical exercise efficiency. Aiming at the characteristics of classroom...

Full description

Saved in:
Bibliographic Details
Published inJournal of intelligent & fuzzy systems pp. 1 - 10
Main Authors Yu, Yue, Chi, Xiaopeng
Format Journal Article
LanguageEnglish
Published 08.06.2021
Online AccessGet full text

Cover

Abstract Using artificial intelligence recognition algorithms to identify extracurricular physical exercise behaviors of college students can help teachers improve the efficiency of extracurricular management, improve student safety and physical exercise efficiency. Aiming at the characteristics of classroom physical exercise mode, this research uses UHF RFID technology to design a set of student information collection system. Moreover, this research processes the collected information and data to obtain the individual position of the student and combines with student action recognition to carry out student positioning and action recognition management. In addition, in order to explore the effect of artificial intelligence sports monitoring model in sports action recognition, this study uses the average recognition rate as a measure of the results of sports action recognition and uses neural network algorithms as a comparative experiment. From the experimental results, it can be seen that the performance of this algorithm is good, and it can be applied to the supervision of college students’ extracurricular physical exercise.
AbstractList Using artificial intelligence recognition algorithms to identify extracurricular physical exercise behaviors of college students can help teachers improve the efficiency of extracurricular management, improve student safety and physical exercise efficiency. Aiming at the characteristics of classroom physical exercise mode, this research uses UHF RFID technology to design a set of student information collection system. Moreover, this research processes the collected information and data to obtain the individual position of the student and combines with student action recognition to carry out student positioning and action recognition management. In addition, in order to explore the effect of artificial intelligence sports monitoring model in sports action recognition, this study uses the average recognition rate as a measure of the results of sports action recognition and uses neural network algorithms as a comparative experiment. From the experimental results, it can be seen that the performance of this algorithm is good, and it can be applied to the supervision of college students’ extracurricular physical exercise.
Author Yu, Yue
Chi, Xiaopeng
Author_xml – sequence: 1
  givenname: Yue
  surname: Yu
  fullname: Yu, Yue
  organization: Department of Physical Education, University of International Business and Economics, Beijing, China
– sequence: 2
  givenname: Xiaopeng
  surname: Chi
  fullname: Chi, Xiaopeng
  organization: Department of Physical Education & Research, Beijing Foreign Studies University, Beijing, China
BookMark eNotkEFKAzEYRoNUsK2uvED2MppMJsnMUorVSsWF3Q9p5s8YySQlScHixmt4PU_ilLr6PnjwFm-GJj54QOiakltWMnb3vFq-FSVtKBNnaEpryYu6EXIyfiKqgpaVuECzlD4IoZKXZIq-XoK3OUTre6x8hwflVQ8D-IzTIWUYsAkR6-Ac9IBT3ncjSr_fPxg-c1R6H6PVe6ci3r0fktXKjQCitgnwViXocPBYxWyN1XaE1mdwzvbgNVyic6Ncgqv_naPN8mGzeCrWr4-rxf260LIWhaJc0YqILTFEGi2kJrqChpW8NoYCbbgijQSmKtlJWXIwvJE145xQXQmu2RzdnLQ6hpQimHYX7aDioaWkPWZrj9naUzb2B8fPZZk
CitedBy_id crossref_primary_10_2478_amns_2023_2_00881
crossref_primary_10_2478_amns_2023_2_01411
crossref_primary_10_2478_amns_2024_1806
crossref_primary_10_1155_2022_7524153
crossref_primary_10_2478_amns_2023_1_00107
crossref_primary_10_1155_2022_4796937
crossref_primary_10_2174_2352096515666220704094823
crossref_primary_10_2478_amns_2024_1700
Cites_doi 10.14355/tlist.2014.03.009
10.1075/sll.18.1.02puu
10.1007/978-94-017-9558-6_4
10.1016/j.cmpb.2017.07.005
10.14198/jhse.2017.124.12
10.1016/j.ijleo.2016.11.174
10.3109/08990220.2014.969838
10.1002/ett.3433
10.1016/j.measurement.2014.09.063
10.14257/ijmue.2015.10.9.03
10.1016/j.ptsp.2016.06.003
10.1016/j.gaitpost.2016.10.002
10.4236/opj.2016.68B026
10.1049/trit.2020.0004
10.1016/j.seta.2020.100986
10.1504/IJSISE.2019.100651
10.1016/j.micpro.2020.103722
10.1007/978-3-319-13117-7_67
10.4173/mic.2017.1.2
10.2197/ipsjjip.25.884
10.1145/2897824.2925975
10.1109/TII.2020.2994747
ContentType Journal Article
DBID AAYXX
CITATION
DOI 10.3233/JIFS-219136
DatabaseName CrossRef
DatabaseTitle CrossRef
DatabaseTitleList CrossRef
DeliveryMethod fulltext_linktorsrc
Discipline Engineering
EISSN 1875-8967
EndPage 10
ExternalDocumentID 10_3233_JIFS_219136
GroupedDBID .4S
.DC
0R~
4.4
5GY
8VB
AAYXX
ABCQX
ABDBF
ABJNI
ACGFS
ACPQW
ADZMO
AEMOZ
AENEX
AFRHK
AKVCP
ALMA_UNASSIGNED_HOLDINGS
ARCSS
ASPBG
AVWKF
CITATION
DU5
EAD
EAP
EBA
EBR
EBS
EBU
EDO
EMK
EPL
EST
ESX
HZ~
I-F
IOS
K1G
L7B
MET
MIO
MK~
MV1
NGNOM
O9-
P2P
QWB
TH9
TUS
ZL0
ID FETCH-LOGICAL-c786-a15a1406b0f07fc67c0c4e93258ff1e195a097e3a47d7725ef597835501c465c3
ISSN 1064-1246
IngestDate Fri Aug 23 01:44:21 EDT 2024
IsPeerReviewed true
IsScholarly true
Language English
LinkModel OpenURL
MergedId FETCHMERGED-LOGICAL-c786-a15a1406b0f07fc67c0c4e93258ff1e195a097e3a47d7725ef597835501c465c3
PageCount 10
ParticipantIDs crossref_primary_10_3233_JIFS_219136
PublicationCentury 2000
PublicationDate 2021-06-08
PublicationDateYYYYMMDD 2021-06-08
PublicationDate_xml – month: 06
  year: 2021
  text: 2021-06-08
  day: 08
PublicationDecade 2020
PublicationTitle Journal of intelligent & fuzzy systems
PublicationYear 2021
References Khan (10.3233/JIFS-219136_ref7) 2016; 76
Shakeel (10.3233/JIFS-219136_ref27); 11
Miura (10.3233/JIFS-219136_ref15) 2017; 25
Frost (10.3233/JIFS-219136_ref17) 2016; 23
Holden (10.3233/JIFS-219136_ref22) 2016; 35
Ancillao (10.3233/JIFS-219136_ref1) 2017; 149
Giannetti (10.3233/JIFS-219136_ref12) 2017; 37
Lee (10.3233/JIFS-219136_ref9) 2016; 130
Wang (10.3233/JIFS-219136_ref14) 2014; 3
Chen (10.3233/JIFS-219136_ref23); 81
Xia (10.3233/JIFS-219136_ref31) 2017; 33
Pablo ngel-López (10.3233/JIFS-219136_ref4) 2015; 49
Rahman (10.3233/JIFS-219136_ref10) 2017; 15
Lin (10.3233/JIFS-219136_ref26) 2015; 329
Lv (10.3233/JIFS-219136_ref29); 17
Wang (10.3233/JIFS-219136_ref32) 2017; 12
Zhang (10.3233/JIFS-219136_ref24) 2021; 45
Zhou (10.3233/JIFS-219136_ref30) 2017; 38
Park (10.3233/JIFS-219136_ref11) 2015; 59
Zhou (10.3233/JIFS-219136_ref6) 2015; 10
Zhang (10.3233/JIFS-219136_ref13) 2016; 06
Komisar (10.3233/JIFS-219136_ref2) 2016; 51
Puupponen (10.3233/JIFS-219136_ref8) 2015; 18
Shan (10.3233/JIFS-219136_ref28) 2015; 7
Nguyen (10.3233/JIFS-219136_ref25) 2018; 29
Chaw (10.3233/JIFS-219136_ref19) 2020; 5
Sá (10.3233/JIFS-219136_ref3) 2015; 32
Kim (10.3233/JIFS-219136_ref5) 2015; 21
MuhammedShafi (10.3233/JIFS-219136_ref18) 2018; 10
Zhang (10.3233/JIFS-219136_ref20) 2016; 41
References_xml – volume: 15
  start-page: 243
  year: 2017
  ident: 10.3233/JIFS-219136_ref10
  article-title: Analysis of Finger Movements of a Pianist Using Magnetic Motion Capture System with Six Dimensional Position Sensors[J]
  publication-title: Transactions of the Virtual Reality Society of Japan
  contributor:
    fullname: Rahman
– volume: 3
  start-page: 57
  year: 2014
  ident: 10.3233/JIFS-219136_ref14
  article-title: Research on Protection Property of Running Sportswear Fabrics Based on 3-D Motion Capture System[J]
  publication-title: Textiles and Light Industrial Science and Technology
  doi: 10.14355/tlist.2014.03.009
  contributor:
    fullname: Wang
– volume: 41
  start-page: 556
  issue: 6
  year: 2016
  ident: 10.3233/JIFS-219136_ref20
  article-title: An Introduction to A Newly-developed “Acupuncture Needle Manipulation Training-evaluation System” Based on Optical Motion Capture Technique[J]
  publication-title: Acupuncture Research
  contributor:
    fullname: Zhang
– volume: 18
  start-page: 41
  issue: 1
  year: 2015
  ident: 10.3233/JIFS-219136_ref8
  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 Language & Linguistics
  doi: 10.1075/sll.18.1.02puu
  contributor:
    fullname: Puupponen
– volume: 10
  start-page: 699
  issue: 06
  year: 2018
  ident: 10.3233/JIFS-219136_ref18
  article-title: An efficient optimal fuzzy C means (OFCM) algorithm with particle swarm optimization (PSO) to analyze and predict crime data [J]
  publication-title: J Adv Res Dyn Control Syst
  contributor:
    fullname: MuhammedShafi
– volume: 329
  start-page: 29
  year: 2015
  ident: 10.3233/JIFS-219136_ref26
  article-title: A Research on 3D Motion Database Management and Query System Based on Kinect[J]
  publication-title: Lecture Notes in Electrical Engineering
  doi: 10.1007/978-94-017-9558-6_4
  contributor:
    fullname: Lin
– volume: 149
  start-page: 19
  year: 2017
  ident: 10.3233/JIFS-219136_ref1
  article-title: Three dimensional motion capture applied to violin playing: A study on feasibility and characterization of the motor strategy[J]
  publication-title: Computer Methods & Programs in Biomedicine
  doi: 10.1016/j.cmpb.2017.07.005
  contributor:
    fullname: Ancillao
– volume: 12
  start-page: 1256
  issue: 4
  year: 2017
  ident: 10.3233/JIFS-219136_ref32
  article-title: Comparison of breast motion at different levels of support during physical activity[J]
  publication-title: Journal of Human Sport and Exercise
  doi: 10.14198/jhse.2017.124.12
  contributor:
    fullname: Wang
– volume: 130
  start-page: 1397
  year: 2016
  ident: 10.3233/JIFS-219136_ref9
  article-title: Low-Cost 3D Motion Capture System Using Passive Optical Markers and Monocular Vision[J]
  publication-title: Optik International Journal for Light & Electron Optics
  doi: 10.1016/j.ijleo.2016.11.174
  contributor:
    fullname: Lee
– volume: 32
  start-page: 77
  issue: 2
  year: 2015
  ident: 10.3233/JIFS-219136_ref3
  article-title: Kinematic parameters of throwing performance in patients with schizophrenia using a markerless motion capture system[J]
  publication-title: Somatosensory Research
  doi: 10.3109/08990220.2014.969838
  contributor:
    fullname: Sá
– volume: 29
  start-page: e3433
  year: 2018
  ident: 10.3233/JIFS-219136_ref25
  article-title: RTEthernet: Real-time communication for manufacturing cyberphysical systems
  publication-title: Trans Emerging Tel Tech
  doi: 10.1002/ett.3433
  contributor:
    fullname: Nguyen
– volume: 59
  start-page: 352
  year: 2015
  ident: 10.3233/JIFS-219136_ref11
  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
  contributor:
    fullname: Park
– volume: 33
  start-page: 595
  issue: 6
  year: 2017
  ident: 10.3233/JIFS-219136_ref31
  article-title: Range of Hip Joint Motion and Weight of Lower Limb Function under 3D Dynamic Marker[J]
  publication-title: Fa yi xue za zhi
  contributor:
    fullname: Xia
– volume: 10
  start-page: 17
  issue: 9
  year: 2015
  ident: 10.3233/JIFS-219136_ref6
  article-title: A Survey of Motion Capture Data Earning as High Dimensional Time Series[J]
  publication-title: International Journal of Multimedia and Ubiquitous Engineering
  doi: 10.14257/ijmue.2015.10.9.03
  contributor:
    fullname: Zhou
– volume: 23
  start-page: 50
  year: 2016
  ident: 10.3233/JIFS-219136_ref17
  article-title: Can the Functional Movement Screen™ be used to capture changes in spine and knee motion control following 12 weeks of training?[J]
  publication-title: Physical Therapy in Sport
  doi: 10.1016/j.ptsp.2016.06.003
  contributor:
    fullname: Frost
– volume: 7
  start-page: 290
  issue: 7
  year: 2015
  ident: 10.3233/JIFS-219136_ref28
  article-title: Feature recognition of body dance motion in sports dancing[J]
  publication-title: Metallurgical and Mining Industry
  contributor:
    fullname: Shan
– volume: 51
  start-page: 125
  year: 2016
  ident: 10.3233/JIFS-219136_ref2
  article-title: A novel method for synchronizing motion capture with other data sources for millisecond-level precision[J]
  publication-title: Gait & Posture
  doi: 10.1016/j.gaitpost.2016.10.002
  contributor:
    fullname: Komisar
– volume: 06
  start-page: 155
  issue: 8
  year: 2016
  ident: 10.3233/JIFS-219136_ref13
  article-title: Application of Optical Motion Capture Technology in Power Safety Entitative Simulation Training System[J]
  publication-title: Optics & Photonics Journal
  doi: 10.4236/opj.2016.68B026
  contributor:
    fullname: Zhang
– volume: 21
  start-page: 1167
  issue: 12
  year: 2015
  ident: 10.3233/JIFS-219136_ref5
  article-title: Performance Improvement of an AHRS for Motion Capture[J]
  publication-title: Journal of Institute of Control
  contributor:
    fullname: Kim
– volume: 5
  start-page: 115
  issue: 2
  year: 2020
  ident: 10.3233/JIFS-219136_ref19
  article-title: Single-valued neutrosophic relations and their application to factors affecting oil prices [J]
  publication-title: CAAI Transactions on Intelligence Technology
  doi: 10.1049/trit.2020.0004
  contributor:
    fullname: Chaw
– volume: 45
  start-page: 100986
  year: 2021
  ident: 10.3233/JIFS-219136_ref24
  article-title: Big data and artificial intelligence based early risk warning system of fire hazard for smart cities
  publication-title: Sustainable Energy Technologies and Assessments
  doi: 10.1016/j.seta.2020.100986
  contributor:
    fullname: Zhang
– volume: 37
  start-page: 1
  issue: 7
  year: 2017
  ident: 10.3233/JIFS-219136_ref12
  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: Journal of Medical & Biological Engineering
  contributor:
    fullname: Giannetti
– volume: 11
  start-page: 270
  issue: 5
  ident: 10.3233/JIFS-219136_ref27
  article-title: Echocardiography image segmentation using feed forward artificial neural network (FFANN) with fuzzy multi-scale edge detection (FMED)[J]
  publication-title: International Journal of Signal and Imaging Systems Engineering
  doi: 10.1504/IJSISE.2019.100651
  contributor:
    fullname: Shakeel
– volume: 81
  start-page: 103722
  ident: 10.3233/JIFS-219136_ref23
  article-title: Holistic big data integrated artificial intelligent modeling to improve privacy and security in data management of smart cities[J]
  publication-title: Microprocessors and Microsystems
  doi: 10.1016/j.micpro.2020.103722
  contributor:
    fullname: Chen
– volume: 49
  start-page: 257
  year: 2015
  ident: 10.3233/JIFS-219136_ref4
  article-title: Kinematic Hand Analysis Using Motion Capture Technology[J]
  publication-title: IFMBE proceedings
  doi: 10.1007/978-3-319-13117-7_67
  contributor:
    fullname: Pablo ngel-López
– volume: 38
  start-page: 11
  issue: 1
  year: 2017
  ident: 10.3233/JIFS-219136_ref30
  article-title: Energy Optimal Trajectories in Human Arm Motion Aiming for Assistive Robots[J]
  publication-title: Modeling, Identification and Control (MIC)
  doi: 10.4173/mic.2017.1.2
  contributor:
    fullname: Zhou
– volume: 76
  start-page: 1
  issue: 15
  year: 2016
  ident: 10.3233/JIFS-219136_ref7
  article-title: Multiresolution coding of motion capture data for real-time multimedia applications[J]
  publication-title: Multimedia Tools & Applications
  contributor:
    fullname: Khan
– volume: 25
  start-page: 884
  year: 2017
  ident: 10.3233/JIFS-219136_ref15
  article-title: Low-dimensional Feature Vector Extraction from Motion Capture Data by Phase Plane Analysis[J]
  publication-title: Journal of Information Processing
  doi: 10.2197/ipsjjip.25.884
  contributor:
    fullname: Miura
– volume: 35
  start-page: 1
  issue: 4
  year: 2016
  ident: 10.3233/JIFS-219136_ref22
  article-title: A deep learning framework for character motion synthesis and editing[J]
  publication-title: ACM Transactions on Graphics
  doi: 10.1145/2897824.2925975
  contributor:
    fullname: Holden
– volume: 17
  start-page: 1496
  issue: 2
  ident: 10.3233/JIFS-219136_ref29
  article-title: Trustworthiness in industrial IoT systems based on artificial intelligence[J]
  publication-title: IEEE Transactions on Industrial Informatics
  doi: 10.1109/TII.2020.2994747
  contributor:
    fullname: Lv
SSID ssj0017520
Score 2.2702892
Snippet Using artificial intelligence recognition algorithms to identify extracurricular physical exercise behaviors of college students can help teachers improve the...
SourceID crossref
SourceType Aggregation Database
StartPage 1
Title Monitoring and management system for college students’ extracurricular physical exercise based on artificial intelligence
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV07T8MwELZ4LDAgnuItD2xVIE7spBl5VYAEC0WCqbIdGzFQELQDZeFv8Pf4JZwfSayqSMASVVacRL6v57vz3XcI7XEqSyoYgLeUaUQLsOE4VVmkeaIyTZgiNtv98io7u6EXtyw4aLfVJQOxL0cT60r-I1UYA7maKtk_SLZ-KAzAb5AvXEHCcP2VjN0fsq4zfKxTWTxBs80hlD408OpYLF-r9IaiBXr5hUsfAzSU15XMqj5MLbPHleY8wbzcc008BCSeP5i2zS0DCy09HI3e_DfVNvzd0Kr_YY2sY9tfuHX7wE1Lr_swHpG4vKlQhYKRE4HV4Amu3Rh4RVG7cI03vKokwZ7rMlvHtXmamGhz5-K8cx2BYiXpBM7ssb2szjAE38ZM75nJPTd5Gs0mecHAQ589PDo56tSHTTlLHGmF_3BXxmmmHwTvDgyXwALpLqIFv7740OFgCU2p_jKaDwglV9B7gwgMiMANIrBbfQyIwB4RuELE18cnHsMCrrCAKyxgiwX81McNFnCIhVXU7Zx2j88i314jknk7izhhHLzrTMQ6zrXMchlLqsCcZ22tiSIF43GRq5TTvAQXjCnNbJiQxUTSjMl0Dc30n_pqHWGdxJynuSClUFRoKVRG20IoUdjn6Q20Vy1d79mRqPQmCGjzd7dtobkGd9toZvAyVDtgGQ7ErpfsN6Jzauc
link.rule.ids 315,786,790,27957,27958
linkProvider EBSCOhost
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Monitoring+and+management+system+for+college+students%E2%80%99+extracurricular+physical+exercise+based+on+artificial+intelligence&rft.jtitle=Journal+of+intelligent+%26+fuzzy+systems&rft.au=Yu%2C+Yue&rft.au=Chi%2C+Xiaopeng&rft.date=2021-06-08&rft.issn=1064-1246&rft.eissn=1875-8967&rft.spage=1&rft.epage=10&rft_id=info:doi/10.3233%2FJIFS-219136&rft.externalDBID=n%2Fa&rft.externalDocID=10_3233_JIFS_219136
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1064-1246&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1064-1246&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1064-1246&client=summon