Scalable Infrastructure for Efficient Real-Time Sports Analytics

Johansen, Håvard D.; Kupka, Tomas; Riegler, Michael; Halvorsen, Pål

doi:10.1145/3395035.3425300

Cited by 9 publications

(14 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Another research performed by Johansen et al [21] demonstrated the impact of employing current technologies in sports to detect injuries and train optimally. In this study they have seen the advantages of incorporating technology into elite athlete performance.…”

Section: The Pmsys Athlete Monitoring Systemmentioning

confidence: 99%

“…To investigate how the input window and output window sizes influence prediction in a more practical context, we focused on a daily and weekly predictions as might be relevant to soccer clubs during a game season. We ran experiments using a period of 2 years to train on the entire team and predict the readiness for one player for (7,14,21) days as the input window, and 1 and 7 days as the output window. Table 4 presents the MSE values for univariate prediction with LSTMPlus as a representative model, with different window sizes, for Team A.…”

Section: Input and Output Window Sizementioning

confidence: 99%

See 1 more Smart Citation

Exploration of Different Time Series Models for Soccer Athlete Performance Prediction

et al. 2022

Self Cite

View full text Add to dashboard Cite

show abstract

Section: The Pmsys Athlete Monitoring Systemmentioning

confidence: 99%

Section: Input and Output Window Sizementioning

confidence: 99%

Exploration of Different Time Series Models for Soccer Athlete Performance Prediction

et al. 2022

Self Cite

View full text Add to dashboard Cite

show abstract

“…Bagadus [4], [8], [17], [18] is an integrated sport analysis system for real-time panorama video demonstration of athletics events. Figure 1 shows the overall block diagram of the Bagadus system.…”

Section: Bagadusmentioning

confidence: 99%

“…A mobile application with graphical visualization feedback provides the players with a timeline overview. The data collected via the PMSys system is also used in several follow up research that is focusing on players performance [8], [29]- [31].…”

Section: Individual Subjective Reports (Pmsys)mentioning

confidence: 99%

“…They use the method to reaffirm fans' experiences, which aids in the development of trust among audiences and clubs. Despite the fact that there are few works and case studies on sports analytics, they are either only focused on real-time analytical systems or on predictive analytics [4], [5] or position of the specific player [6] or post-match monitoring fatigue in professional soccer [7], [8]. The current study intends to highlight real-time analysis of the integrated system, motion analysis, crowdsourcing, tactical and technical performance, individual subjective report, and the role of distributed computing in sport analytic.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Video Analytics in Elite Soccer: A Distributed Computing Perspective

Jha¹,

Rauniyar²,

Johansen³

et al. 2022

Preprint

Self Cite

View full text Add to dashboard Cite

Ubiquitous sensors and Internet of Things (IoT) technologies have revolutionized the sports industry, providing new methodologies for planning, effective coordination of training, and match analysis post game. New methods, including machine learning, image and video processing, have been developed for performance evaluation, allowing the analyst to track the performance of a player in real-time. Following FIFA's 2015 approval of electronics performance and tracking system during games, performance data of a single player or the entire team is allowed to be collected using GPS-based wearables. Data from practice sessions outside the sporting arena is being collected in greater numbers than ever before. Realizing the significance of data in professional soccer, this paper presents video analytics, examines recent state-of-the-art literature in elite soccer, and summarizes existing real-time video analytics algorithms. We also discuss real-time crowdsourcing of the obtained data, tactical and technical performance, distributed computing and its importance in video analytics and propose a future research perspective.

show abstract

Sport and Nutrition Digital Analysis: A Legal Assessment

Juliussen

Rui

Johansen

2023

MultiMedia Modeling

Self Cite

View full text Add to dashboard Cite

This paper presents and evaluates legal aspects related to digital technologies applied in the elite soccer domain. Data Protection regulations in Europe clearly indicate that compliance-by-design is needed when developing and deploying such technologies. This is particularly true when health data is involved, but a complicating factor is that the distinction between what is health data or not is unclear. Add to the fact that modern analysis algorithms might deduce personal medical-related data when correlating and sifting through what might seem more harmless data in isolation. We conclude with a set of recommendations rooted in current legal frameworks for developers of sports and wellness systems where privacy and data protection can be at risk.

show abstract

Scalable Infrastructure for Efficient Real-Time Sports Analytics

Cited by 9 publications

References 9 publications

Exploration of Different Time Series Models for Soccer Athlete Performance Prediction

Exploration of Different Time Series Models for Soccer Athlete Performance Prediction

Video Analytics in Elite Soccer: A Distributed Computing Perspective

Sport and Nutrition Digital Analysis: A Legal Assessment

Contact Info

Product

Resources

About