Accuracy of a markerless system to estimate the position of taekwondo athletes in an official combat area

运动员 职位(财务) 计算机科学 人工智能 物理医学与康复 心理学 计算机视觉 物理疗法 医学 业务 财务
作者
Luíza dos Santos Banks,Paulo Roberto Pereira Santiago,Ricardo da Silva Torres,Donizete Cícero Xavier de Oliveira,Felipe Arruda Moura
出处
期刊:International Journal of Performance Analysis in Sport [Informa]
卷期号:: 1-16 被引量:1
标识
DOI:10.1080/24748668.2024.2321738
摘要

Obtaining kinematic analysis through a gold-standard method on sports during official competitions is challenging. Markerless tracking system can be an alternative to provide physical and technical-tactical performance data about the athletes. Therefore, we aimed to verify whether the markerless system (OpenPose) accurately tracks taekwondo athletes' positions on the official combat area. Six taekwondo athletes performed steps and kicks in a self-selected way in two conditions: with and without an opponent. To capture the movement, seven optoelectronic (marker-based system) and two digital cameras (OpenPose markerless system) were placed around the combat area at an acquisition frequency of 120 Hz and 30 Hz, respectively. Positions of the body centre of mass and midpoint of the feet were calculated and analysed through two and three-dimensional reconstruction both. The root mean square (RMS) error comparing both methods ranged from 0.13 to 0.32 m and 0.05 to 0.16 m for two and three-dimensional analysis, respectively. Bland-Altman analysis accepted the agreement between the capture systems, and the intraclass coefficient correlation (ICC) values were classified as excellent (ICC > 0.90) in all analysis. In conclusion, the OpenPose markerless system presents promising results for its use in tracking taekwondo athletes' position on the competition area.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
自然完成签到,获得积分10
刚刚
沉静幼荷发布了新的文献求助10
1秒前
小郑不睡觉完成签到 ,获得积分10
2秒前
2秒前
stydd发布了新的文献求助10
4秒前
4秒前
kimchiyak完成签到,获得积分10
4秒前
nana发布了新的文献求助10
5秒前
kkk0921完成签到,获得积分10
5秒前
瘦瘦冰凡发布了新的文献求助10
7秒前
甜甜圈完成签到,获得积分10
7秒前
roy_chiang完成签到,获得积分0
8秒前
Lucas应助xiaomt0518采纳,获得10
8秒前
12秒前
宇噢噢噢噢完成签到,获得积分10
13秒前
量子星尘发布了新的文献求助10
13秒前
重生成搞学术的卤蛋完成签到 ,获得积分10
13秒前
椰子完成签到 ,获得积分10
14秒前
CipherSage应助cccc1111111采纳,获得10
16秒前
科研通AI6应助超帅的冷菱采纳,获得10
16秒前
16秒前
11完成签到 ,获得积分10
17秒前
17秒前
Atong发布了新的文献求助10
18秒前
长理物电强完成签到,获得积分0
18秒前
我想静静完成签到 ,获得积分10
20秒前
郭倩发布了新的文献求助10
21秒前
浮游应助小杨采纳,获得10
21秒前
promising完成签到,获得积分20
22秒前
安然完成签到 ,获得积分10
23秒前
24秒前
吴兰田完成签到,获得积分10
24秒前
24秒前
25秒前
煜钧发布了新的文献求助10
25秒前
深情安青应助nana采纳,获得10
26秒前
煜钧发布了新的文献求助10
26秒前
Or1ll完成签到,获得积分10
27秒前
光亮西牛完成签到 ,获得积分10
27秒前
zxczxc完成签到,获得积分10
28秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Binary Alloy Phase Diagrams, 2nd Edition 8000
Comprehensive Methanol Science Production, Applications, and Emerging Technologies 2000
From Victimization to Aggression 1000
Translanguaging in Action in English-Medium Classrooms: A Resource Book for Teachers 700
Exosomes Pipeline Insight, 2025 500
Red Book: 2024–2027 Report of the Committee on Infectious Diseases 500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5652998
求助须知:如何正确求助?哪些是违规求助? 4789083
关于积分的说明 15062620
捐赠科研通 4811651
什么是DOI,文献DOI怎么找? 2574020
邀请新用户注册赠送积分活动 1529772
关于科研通互助平台的介绍 1488418