Evaluation of Physical Education Teaching Effect Based on Action Skill Recognition

被引:5
作者
Ding, Xia [1 ]
Peng, Wei [2 ]
Yi, Xiaoling [3 ]
机构
[1] Chongqing Univ Educ, Sch Teacher Dev, Chongqing 400065, Peoples R China
[2] Chongqing 2 Foreign Language Sch, Phys Educ Teaching & Res Sect, Chongqing 400065, Peoples R China
[3] Chongqing Long Men Hao Vocat Sch, Student Dev Ctr, Chongqing 400000, Peoples R China
关键词
POSE ESTIMATION; VIDEO;
D O I
10.1155/2022/9489704
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
In order to improve the effect of physical education teaching in modern colleges and universities, this paper combines the movement skill recognition algorithm to construct a physical education effect evaluation system and studies the multispectral image reproduction system in practical application. Moreover, this paper gives a detailed description of more advanced functional modules in the system, such as spectral acquisition, spectral reflectance reconstruction, and spectral color correction. In addition, this paper focuses on the algorithm design of the color appearance matching module. By adding the "color appearance transformation" on the source side and the "color appearance inversion" on the reproduction side, the source image and the reproduced image can achieve color appearance matching in the observation condition-independent space. The simulation experiment verifies that the physical education effect evaluation system based on action skill recognition meets the actual needs of physical education and has a good role in promoting the recognition of physical skills and the improvement of physical education effect.
引用
收藏
页数:11
相关论文
共 21 条
[1]   Portable 3D Human Pose Estimation for Human-Human Interaction using a Chest-Mounted Fisheye Camera [J].
Aso, Kohei ;
Hwang, Dong-Hyun ;
Koike, Hideki .
PROCEEDINGS OF THE AUGMENTED HUMANS CONFERENCE 2021, AHS 2021, 2021, :116-120
[2]   Algorithm based on one monocular video delivers highly valid and reliable gait parameters [J].
Azhand, Arash ;
Rabe, Sophie ;
Mueller, Swantje ;
Sattler, Igor ;
Heimann-Steinert, Anika .
SCIENTIFIC REPORTS, 2021, 11 (01)
[3]  
Bakshi A., 2021, International Journal of Recent Advances in Multidisciplinary Topics, V2, P70
[4]   A Review of the Evolution of Vision-Based Motion Analysis and the Integration of Advanced Computer Vision Methods Towards Developing a Markerless System [J].
Colyer, Steffi L. ;
Evans, Murray ;
Cosker, Darren P. ;
Salo, Aki I. T. .
SPORTS MEDICINE-OPEN, 2018, 4
[5]   DTCoach: Your Digital Twin Coach on the Edge during COVID-19 and beyond [J].
Diaz R.G. ;
Laamarti F. ;
El Saddik A. .
IEEE Instrumentation and Measurement Magazine, 2021, 24 (06) :22-28
[6]   Multiple human 3D pose estimation from multiview images [J].
Ershadi-Nasab, Sara ;
Noury, Erfan ;
Kasaei, Shohreh ;
Sanaei, Esmaeil .
MULTIMEDIA TOOLS AND APPLICATIONS, 2018, 77 (12) :15573-15601
[7]   Multi-Person Hierarchical 3D Pose Estimation in Natural Videos [J].
Gu, Renshu ;
Wang, Gaoang ;
Jiang, Zhongyu ;
Hwang, Jenq-Neng .
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2020, 30 (11) :4245-4257
[8]   Multipath affinage stacked-hourglass networks for human pose estimation [J].
Hua, Guoguang ;
Li, Lihong ;
Liu, Shiguang .
FRONTIERS OF COMPUTER SCIENCE, 2020, 14 (04)
[9]   Multi-Person Pose Estimation Using Bounding Box Constraint and LSTM [J].
Li, Miaopeng ;
Zhou, Zimeng ;
Liu, Xinguo .
IEEE TRANSACTIONS ON MULTIMEDIA, 2019, 21 (10) :2653-2663
[10]   Human Pose Estimation in Video via Structured Space Learning and Halfway Temporal Evaluation [J].
Liu, Shiguang ;
Li, Yang ;
Hua, Guoguang .
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2019, 29 (07) :2029-2038