abstract

Using Video-based Technology in Powerlifting Sport to Support Referees' Decision Making

Authors:

Nick Michalopoulos,

Christina Katsini,

George E. RaptisAuthors Info & Claims

CHI EA '19: Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems

Paper No.: LBW0121, Pages 1 - 6

https://doi.org/10.1145/3290607.3312991

Published: 02 May 2019 Publication History

Get Access

Abstract

Referees' decisions in sport games, which must be made in less than a second, have an impact on the games' outcome. The use of hardware and/or software solutions could contribute towards increased accuracy of referees' decisions. Application of such solutions can be expensive, especially in the case of less popular sports. In this respect, we propose and evaluate a video-based system for helping referees in powerlifting to make better decisions. Results reveal promising accuracy rates of the proposed system. This attempt is the first step towards supporting referees in the powerlifting domain and further elaboration of the proposed system is required to achieve higher decision-making accuracy.

References

[1]

Elena Ceseracciu, Zimi Sawacha, and Claudio Cobelli. 2014. Comparison of Markerless and Marker-Based Motion Capture Technologies Through Simultaneous Data Collection During Gait: Proof of Concept. PloS one 9, 3 (2014), 7.

Crossref

Google Scholar

[2]

Yisheng Chen, Jinho Lee, Rick Parent, and Raghu Machiraju. 2005. Markerless Monocular Motion Capture Using Image Features and Physical Constraints. In Computer Graphics International 2005 (CGI). IEEE, IEEE, Danvers MA, USA, 36--43.

Digital Library

Google Scholar

[3]

Teunis Cloete and Cornie Scheffer. 2008. Benchmarking of a Full-Body Inertial Motion Capture System for Clinical Gait Analysis. In 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE (The Printing House), Toronto ON, Canada, 4579--4582.

Crossref

Google Scholar

[4]

Marc V. Jones, Geoffrey C. Paull, and John Erskine. 2002. The Impact of a Team's Aggressive Reputation on the Decisions of Association Football Referees. Journal of Sports Sciences 20, 12 (2002), 991--1000.

Crossref

Google Scholar

[5]

Otto Kolbinger, Daniel Linke, Daniel Link, and Martin Lames. 2015. Do We Need Goal Line Technology in Soccer or Could Video Proof Be a More Suitable Choice: A Cost-Benefit-Analysis of Goal Line Technology in Soccer and Thoughts About an Introduction of Video Proof. In Sports Science Research and Technology Support, Jan Cabri, João Barreiros, and Pedro Pezarat Correia (Eds.). Springer International Publishing, Cham, 107--118.

Google Scholar

[6]

René Leveaux. 2010. Facilitating Referee's Decision Making in Sport via the Application of Technology. Communications of the IBIMA 2010 (2010), 8.

Crossref

Google Scholar

[7]

Henk J Luinge and Peter H Veltink. 2005. Measuring orientation of human body segments using miniature gyroscopes and accelerometers. Medical and Biological Engineering and computing 43, 2 (2005), 273--282.

Google Scholar

[8]

Lorin Maletsky, Junyi Sun, and Nicholas Morton. 2007. Accuracy of an Optical Active-Marker System to Track the Relative Motion of Rigid Bodies. Journal of Biomechanics 40, 3 (2007), 682--685.

Crossref

Google Scholar

[9]

Duncan RD Mascarenhas, Dave Collins, and Patrick Mortimer. 2005. The Accuracy, Agreement and Coherence of Decision-Making in Rugby Union Officials. Journal of Sport Behavior 28, 3 (2005), 253--271.

Google Scholar

[10]

Nikolaos Michalopoulos, George E. Raptis, Christina Katsini, Theofilos Chrysikos, Michail Mamalakis, and Andrew Vigotsky. 2016. A Personalised Monitoring and Recommendation Framework for Kinetic Dysfunctions: The Trendelenburg Gait. In Proceedings of the 20th Pan-Hellenic Conference on Informatics (PCI '16). ACM, New York, NY, USA, Article 8, 4 pages.

Digital Library

Google Scholar

[11]

Daniel Spelmezan, Mareike Jacobs, Anke Hilgers, and Jan Borchers. 2009. Tactile Motion Instructions for Physical Activities. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '09). ACM, New York, NY, USA, 2243--2252.

Digital Library

Google Scholar

[12]

Jelle Stienstra, Kees Overbeeke, and Stephan Wensveen. 2011. Embodying Complexity Through Movement Sonification: Case Study on Empowering the Speed-skater. In Proceedings of the 9th ACM SIGCHI Italian Chapter International Conference on Computer-Human Interaction: Facing Complexity (CHItaly). ACM, New York, NY, USA, 39--44.

Digital Library

Google Scholar

Cited By

View all

Chandrasegaran JAzani Mustafa WAminudin Jamlos MZulkarnain Syed Idrus S(2020)Design Woodball Line Detection and Monitoring System: A Preliminary StudyIOP Conference Series: Materials Science and Engineering10.1088/1757-899X/917/1/012069917:1(012069)Online publication date: 1-Sep-2020
https://doi.org/10.1088/1757-899X/917/1/012069

Index Terms

Using Video-based Technology in Powerlifting Sport to Support Referees' Decision Making

Recommendations

Consensus-based decision support for multicriteria group decision making

Consensus decision making is complex and challenging in multicriteria group decision making due to the involvement of several decision makers, the presence of multiple, and often conflicting criteria, and the existence of subjectiveness and imprecision ...
The design of AHPEC in web-based decision support system for making decision
AIC'10/BEBI'10: Proceedings of the 10th WSEAS international conference on applied informatics and communications, and 3rd WSEAS international conference on Biomedical electronics and biomedical informatics

This paper presents the architecture of the WDSS using AHPEC for making decision. The WDSS-AHPEC involves client, user interface, server, web server, database, and DSS model. The DSS model in this study is using AHPEC method. In applying AHPEC, it ...
Improving Decision Making by Means of a Marketing Decision Support System

Marketing decision makers are confronted with an increasing amount of information. This leads to a complex decision environment that may cause decision makers to lapse into using mental-effort-reducing heuristics such as anchoring and adjustment. In an ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

CHI EA '19: Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems

May 2019

3673 pages

ISBN:9781450359719

DOI:10.1145/3290607

General Chairs:
Stephen Brewster
University of Glasgow, Scotland, UK
,
Geraldine Fitzpatrick
TU Wien, Austria
,
Program Chairs:
Anna Cox
University College London, UK
,
Vassilis Kostakos
University of Melbourne, Australia

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 02 May 2019

Check for updates

Author Tags

Qualifiers

Abstract

Conference

CHI '19

Sponsor:

SIGCHI

CHI '19: CHI Conference on Human Factors in Computing Systems

May 4 - 9, 2019

Glasgow, Scotland Uk

Acceptance Rates

Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

Upcoming Conference

CHI 2025

Sponsor:
sigchi

ACM CHI Conference on Human Factors in Computing Systems

April 26 - May 1, 2025

Yokohama , Japan

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

1
Total Citations
View Citations
352
Total Downloads

Downloads (Last 12 months)31
Downloads (Last 6 weeks)3

Reflects downloads up to 13 Dec 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Chandrasegaran JAzani Mustafa WAminudin Jamlos MZulkarnain Syed Idrus S(2020)Design Woodball Line Detection and Monitoring System: A Preliminary StudyIOP Conference Series: Materials Science and Engineering10.1088/1757-899X/917/1/012069917:1(012069)Online publication date: 1-Sep-2020
https://doi.org/10.1088/1757-899X/917/1/012069

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

HTML Format

View this article in HTML Format.

HTML Format

Abstract

References

Cited By

Index Terms

Recommendations

Consensus-based decision support for multicriteria group decision making

The design of AHPEC in web-based decision support system for making decision

Improving Decision Making by Means of a Marketing Decision Support System

Comments

Information

Published In

Sponsors

Publisher

Publication History

Check for updates

Author Tags

Qualifiers

Conference

Acceptance Rates

Upcoming Conference

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

Login options

Full Access

View options

PDF

eReader

HTML Format

Figures

Other

Share

Share this Publication link

Share on social media

Affiliations