Implementation of Computer Vision in Detecting Human Poses

被引:0
作者
Gregory, Ian [1 ]
Tedjojuwono, Samuel Mahatmaputra [1 ]
机构
[1] Bina Nusantara Univ, Business Informat Syst Program, Informat Syst Dept, Fac Comp & Media, Jakarta 11480, Indonesia
来源
PROCEEDINGS OF 2020 INTERNATIONAL CONFERENCE ON INFORMATION MANAGEMENT AND TECHNOLOGY (ICIMTECH) | 2020年
关键词
human pose; computer vision; children education;
D O I
10.1109/icimtech50083.2020.9211145
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Developing strong core muscles are important for children. Children with strong core muscles allow them to do any kinds of activities that mostly involve physical movement. The work tested on an education organisation that aims to strengthen core muscles by providing yoga-like poses. There are certified trainers that will coach the students along the way. However, mistakes could be made during the coaching because of different trainer's justification and whether the coaching processes were done correctly. Therefore, a solution is proposed to develop a computerized pose detector package which allows the trainers to improve the coaching with the students. The result is promising where the standardized pose could be implemented and compared to observed students' poses, however it is found that due to the uniqueness of the poses, it generates several unidentified results.
引用
收藏
页码:271 / 276
页数:6
相关论文
共 50 条
[21]   Implementation of an Autonomous Mobile Platform Based on Computer Vision [J].
Secuianu, Florin ;
Mihai, Cosmin ;
Vulpe, Andrei ;
Lupu, Ciprian .
2017 18TH INTERNATIONAL CARPATHIAN CONTROL CONFERENCE (ICCC), 2017, :246-251
[22]   Atoms of recognition in human and computer vision [J].
Ullman, Shimon ;
Assif, Liav ;
Fetaya, Ethan ;
Harari, Daniel .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2016, 113 (10) :2744-2749
[23]   A vision-application adaptable computer concept and its implementation in FreeTIV computer [J].
Pissaloux, E ;
Amiot, F ;
Dillon, T .
PARALLEL COMPUTING, 2002, 28 (7-8) :1203-1219
[24]   Deep learning computer vision algorithm for detecting kidney stone composition [J].
Black, Kristian M. ;
Law, Hei ;
Aldoukhi, Ali ;
Deng, Jia ;
Ghani, Khurshid R. .
BJU INTERNATIONAL, 2020, 125 (06) :920-924
[25]   A Computer Vision-Based Algorithm for Detecting Vehicle Yielding to Pedestrians [J].
Wan, Yanqi ;
Xu, Yaqi ;
Xu, Yi ;
Wang, Heyi ;
Wang, Jian ;
Liu, Mingzheng .
SUSTAINABILITY, 2023, 15 (22)
[26]   Detecting corn tassels using computer vision and support vector machines [J].
Kurtulmus, Ferhat ;
Kavdir, Ismail .
EXPERT SYSTEMS WITH APPLICATIONS, 2014, 41 (16) :7390-7397
[27]   Detecting the overfilled status of domestic and commercial bins using computer vision [J].
Agnew, Cathaoir ;
Mewada, Dishant ;
Grua, Eoin M. ;
Eising, Ciaran ;
Denny, Patrick ;
Heffernan, Mark ;
Tierney, Ken ;
Van de Ven, Pepijn ;
Scanlan, Anthony .
INTELLIGENT SYSTEMS WITH APPLICATIONS, 2023, 18
[28]   A comprehensive study on lane detecting autonomous car using computer vision [J].
Gajjar, Henil ;
Sanyal, Stavan ;
Shah, Manan .
EXPERT SYSTEMS WITH APPLICATIONS, 2023, 233
[29]   Computer vision in automated parking systems: Design, implementation and challenges [J].
Heimberger, Markus ;
Horgan, Jonathan ;
Hughes, Ciaran ;
McDonald, John ;
Yogamani, Senthil .
IMAGE AND VISION COMPUTING, 2017, 68 :88-101
[30]   Design and Implementation of Vehicle Safety Robot Based on Computer Vision [J].
Ma, Yuankai ;
Liu, Xubo ;
Bao, Jiahang ;
Liu, Chang ;
Dai, Zhitao .
PROCEEDINGS OF 2019 IEEE 10TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING AND SERVICE SCIENCE (ICSESS 2019), 2019, :344-348