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Game Plan: What AI can do for Football, and What Football can do for AI

Karl Tuyls, Shayegan Omidshafiei, Paul Muller, Zhe Wang, Jerome Connor, Daniel Hennes, Ian Graham, William Spearman, Tim Waskett, Dafydd Steel, Pauline Luc, Adria Recasens (+24 others)
2021 The Journal of Artificial Intelligence Research  
In this paper, we provide an overarching perspective highlighting how the combination of these fields, in particular, forms a unique microcosm for AI research, while offering mutual benefits for professional  ...  We review the state-of-the-art and exemplify the types of analysis enabled by combining the aforementioned fields, including illustrative examples of counterfactual analysis using predictive models, and  ...  Acknowledgments The authors gratefully thank Thomas Anthony and Murray Shanahan for their helpful feedback during the paper writing process.  ... 
doi:10.1613/jair.1.12505 fatcat:klaw7alkzrhp7kd7ebdefpxh7e

A Survey of Video-based Action Quality Assessment [article]

Shunli Wang, Dingkang Yang, Peng Zhai, Qing Yu, Tao Suo, Zhan Sun, Ka Li, Lihua Zhang
2022 arXiv   pre-print
Human action recognition and analysis have great demand and important application significance in video surveillance, video retrieval, and human-computer interaction.  ...  The action quality assessment model can reduce the human and material resources spent in action evaluation and reduce subjectivity.  ...  In sports scenarios, self-occlusion during complex movements will seriously affect human body detection and pose estimation. And the same to medical operations.  ... 
arXiv:2204.09271v1 fatcat:dl4n6ixzpvhc3o4hugkohv7haq

A Systematic Literature Review of Intelligent Data Analysis Methods for Smart Sport Training

Alen Rajšp, Iztok Fister Fister
2020 Applied Sciences  
Intelligent data analysis methods are presented, which are currently used in the field of Smart Sport Training (SST).  ...  These technologies have brought changes to the way we watch, play, compete, and also train sports.  ...  was proposed. [121] Skiing CNN AI Coach system to provide personalized athletic training experiences for posture-wise sports activities with the case of skiing.  ... 
doi:10.3390/app10093013 fatcat:mjdbbec6orb6rlk2zbgmzqjcfa

Superimposed Skilled Performance in a Virtual Mirror Improves Motor Performance and Cognitive Representation of a Full Body Motor Action

Felix Hülsmann, Cornelia Frank, Irene Senna, Marc O. Ernst, Thomas Schack, Mario Botsch
2019 Frontiers in Robotics and AI  
Feedback is essential for skill acquisition as it helps identifying and correcting performance errors.  ...  The present findings indicate that it can be beneficial for novices to watch themselves together with a skilled performance during execution, and that improvement depends on the perspective chosen.  ...  AUTHOR CONTRIBUTIONS FH, CF, IR, ME, TS, and MB: conception and design of study and drafting the manuscript. FH, CF, and IS: data collection and analysis and interpretation of data.  ... 
doi:10.3389/frobt.2019.00043 pmid:33501059 pmcid:PMC7805859 fatcat:goljqxtlprfupcp5wra7ov56gy

Assistant Training System of Teenagers' Physical Ability Based on Artificial Intelligence

Cong Du, Sang-Bing Tsai
2021 Mathematical Problems in Engineering  
The system consists of target detection module, data analysis module, and human posture estimation module.  ...  This shows that the auxiliary training system based on artificial intelligence can help young athletes improve their physical quality and enhance their sports skills.  ...  In order to improve the quality of physical assistive training for teenagers and cultivate higher quality young athletes for Chinese sports, this paper studies the physical assistive training system for  ... 
doi:10.1155/2021/5526509 fatcat:mwbbj543jvdh7cf5p4dljxj2jq

A Comprehensive Review of Computer Vision in Sports: Open Issues, Future Trends and Research Directions [article]

Banoth Thulasya Naik, Mohammad Farukh Hashmi, Neeraj Dhanraj Bokde
2022 arXiv   pre-print
This paper presents a comprehensive review of sports video analysis for various applications high-level analysis such as detection and classification of players, tracking player or ball in sports and predicting  ...  This work reviews a detailed discussion on some of the artificial intelligence(AI)applications in sports vision, GPU-based work stations, and embedded platforms.  ...  Training & Coaching An effective way for improving the analysis of performance of athletes and also assisting coaches with team guidance to gauge the tactics of the opponents are gaining popularity.  ... 
arXiv:2203.02281v2 fatcat:sstxbtgg6neyxcp47tigj7lbta

The Role of Social Movements, Coalitions, and Workers in Resisting Harmful Artificial Intelligence and Contributing to the Development of Responsible AI [article]

Susan von Struensee
2021 arXiv   pre-print
ethics and values of those heavily investing in and profiting from AI are under global scrutiny.  ...  There are biased, wrongful, and disturbing assumptions embedded in AI algorithms that could get locked in without intervention. Our best human judgment is needed to contain AI's harmful impact.  ...  for sharing data to train AI models illustrates these infrastructural impacts.  ... 
arXiv:2107.14052v1 fatcat:etqo64ksjzaihmt4kr7b6auxiu

Aided Evaluation of Motion Action Based on Attitude Recognition

Qi Wang, Qing-Ming Wang, Le Sun
2022 Journal of Healthcare Engineering  
identified and calculated for easy analysis. (2) The movements of the human body in the video are evaluated.  ...  The research results show that: (1) using OpenPose open-source library for pose recognition, joint angle data can be obtained through joint coordinates, and the key points of video human posture can be  ...  posture data can help athletes train freely anytime, anywhere, and every moment to the maximum extent and record real and effective real-time records.  ... 
doi:10.1155/2022/8388325 pmid:35310175 pmcid:PMC8926528 fatcat:6vw56yuvnfhbhif5r6dmftybhm

Research on Badminton Teaching Technology Based on Human Pose Estimation Algorithm

Zhang Xipeng, Zhao Peng, Cao Yecheng, Baiyuan Ding
2022 Scientific Programming  
Human pose estimation is an important task in physical education, which can provide a valuable reference for teachers and students.  ...  We propose a human pose estimation method based on part affinity field.  ...  Human pose estimation has different cut-offs in terms of the number of people, and single-person pose estimation has better accuracy and stability than multiperson pose estimation.  ... 
doi:10.1155/2022/4664388 fatcat:k2n7mpjxgzh4zpebopwf3pdk6i

Classification of Diabetic Walking for Senior Citizens and Personal Home Training System Using Single RGB Camera through Machine Learning

Yeoungju Woo, Seoyeong Ko, Sohyun Ahn, Hang Thi Phuong Nguyen, Choonsung Shin, Hieyong Jeong, Byungjoo Noh, Myeounggon Lee, Hwayoung Park, Changhong Youm
2021 Applied Sciences  
It was discussed that there are risks and errors in the training system based on human pose estimation for future works.  ...  home-training system for training abnormal gait motions by oneself.  ...  Then, it is time to clarify whether home training systems based on human pose estimation can substitute human training coaches or not. (1) Body specifics according to the gender: When image data of humans  ... 
doi:10.3390/app11199029 fatcat:a3q7qfpibfhmvkcfqy7p44b3v4

Fostering Fast-response Spontaneous Virtual Team: Effects of Member Skill Awareness and Shared Governance on Team Cohesion and Outcomes

Xue Yang, Yu Tong, Hock-Hai Teo
2015 Journal of the AIS  
perception of FRSVT task cohesion and subsequent outcomes.  ...  Furthermore, perceived task cohesion was positively related to performance and member satisfaction. One's propensity to reunite with team members is affected by performance and member satisfaction.  ...  Acknowledgements The authors would like to thank the valuable comments and suggestions provided by the SE and three anonymous reviewers, which have greatly helped improve the quality of the earlier drafts  ... 
doi:10.17705/1jais.00414 fatcat:4rjl7sxv2bfhpa4w66evbbomt4

Deep Learning-Based Human Pose Estimation: A Survey [article]

Ce Zheng and Wenhan Wu and Chen Chen and Taojiannan Yang and Sijie Zhu and Ju Shen and Nasser Kehtarnavaz and Mubarak Shah
2022 arXiv   pre-print
The goal of this survey paper is to provide a comprehensive review of recent deep learning-based solutions for both 2D and 3D pose estimation via a systematic analysis and comparison of these solutions  ...  Although the recently developed deep learning-based solutions have achieved high performance in human pose estimation, there still remain challenges due to insufficient training data, depth ambiguities  ...  [246] designed an AI coaching system with a pose estimation module for personalized athletic training assistance.  ... 
arXiv:2012.13392v4 fatcat:ypnqtq3sbncr5fuujif2dhqwji

The Implementation of Moral Damages Based on Calculated Exponential Injury Severity Score for Procedural Torts

Zharama Llarena
2018 US-China Law Review  
The universal civil rights entail several law topics and issues for civil cases pertaining to various measures for people, its human relations, obligations, and contracts corresponding to torts.  ...  Anger is an emotional trauma experienced by a person inflicted with external harm, such as discovered fraud and experienced injustice by an individual.  ...  It is, thus, vital for the professionals and coach collaborating with athletes to grasp the stress cycle.  ... 
doi:10.17265/1548-6605/2018.02.003 fatcat:pwgdjfk435eg5kqegpqtdg5j7i

High performance school-age athletes: A study of conflicting demands

M. O'Neill
2012 Journal of Science and Medicine in Sport  
Using 39 indepth interviews and document analysis and some field notes, the research sought to give primacy to these young people's voices and by so doing, to develop theory around the conflicting needs  ...  The second is the younger age of many competitors, and the third is the increasing requirement in Australian educational jurisdictions for young people to stay at school until they are 17 years old.  ...  visually to assist analysis.  ... 
doi:10.1016/j.jsams.2012.11.376 fatcat:ct5p6t5q4ncc3ffh4cd5b75maa

Artificial Intelligence Based Body Sensor Network Framework—Narrative Review: Proposing an End-to-End Framework using Wearable Sensors, Real-Time Location Systems and Artificial Intelligence/Machine Learning Algorithms for Data Collection, Data Mining and Knowledge Discovery in Sports and Healthcare

Ashwin A. Phatak, Franz-Georg Wieland, Kartik Vempala, Frederik Volkmar, Daniel Memmert
2021 Sports Medicine - Open  
This facilitates gathering of time-synchronized location and physiological vitals data, which allows artificial intelligence and machine learning (AI/ML)-based time series analysis.  ...  The AIBSNF may provide a solid blueprint for conducting research and development, forming a smooth end-to-end pipeline from data collection using BSN, RTLS and final stage analytics based on AI/ML algorithms  ...  The authors would also like to acknowledge the contributions of the management staff and language correction team of the Institute of Exercise Training and Sport Informatics at the German Sports University  ... 
doi:10.1186/s40798-021-00372-0 pmid:34716868 fatcat:htbk2pu7fvcbjcpslg3lcvgfhi
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