Towards Understanding of eSports Athletes' Potentialities: The Sensing System for Data Collection and Analysis
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Abstract (arXiv)
eSports is a developing multidisciplinary research area. At present, there is a lack of relevant data collected from real eSports athletes and lack of platforms which could be used for the data collection and further analysis. In this paper, we present a sensing system for enabling the data collection from professional athletes. Also, we report on the case study about collecting and analyzing the gaze data from Monolith professional eSports team specializing in Counter-Strike: Global Offensive (CS:GO) discipline. We perform a comparative study on assessing the gaze of amateur players and professional athletes. The results of our work are vital for ensuring eSports data collection and the following analysis in the scope of scouting or assessing the eSports players and athletes.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). First posted on arXiv 18 Aug 2019.
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Citing papers per year: 2021: 1; 2022: 1; 2023: 0; 2024: 1.
3 papers.
- 2021From Personalized Medicine to Population Health: A Survey of mHealth Sensing Techniquescited by 7
- 2022SC2EGSet: StarCraft II Esport Replay and Game-state Datasetcited by 3
- 2024An efficient machine learning approach for extracting eSports players distinguishing features and classifying their skill levels using symbolic transfer entropy and consensus nested cross validationcited by 1
- 2024An efficient machine learning approach for extracting eSports players distinguishing features and classifying their skill levels using symbolic transfer entropy and consensus nested cross validation8 May 2024
- 2022SC2EGSet: StarCraft II Esport Replay and Game-state Dataset7 Jul 2022
- 2021From Personalized Medicine to Population Health: A Survey of mHealth Sensing Techniques2 Jul 2021