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Esports Athletes and Players: a Comparative Study
December 07, 2018 Β· Declared Dead Β· π IEEE pervasive computing
"No code URL or promise found in abstract"
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Authors
Nikita Khromov, Alexander Korotin, Andrey Lange, Anton Stepanov, Evgeny Burnaev, Andrey Somov
arXiv ID
1812.03200
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.CY
Citations
49
Venue
IEEE pervasive computing
Last Checked
3 months ago
Abstract
We present a comparative study of the players' and professional players' (athletes') performance in Counter Strike: Global Offensive (CS:GO) discipline. Our study is based on ubiquitous sensing helping identify the biometric features significantly contributing to the classification of particular skills of the players. The research provides better understanding why the athletes demonstrate superior performance as compared to other players.
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