1 code implementation • 7 Dec 2020 • Anton Smerdov, Evgeny Burnaev, Andrey Somov, Anton Stepanov
For this reason, we collected the physiological, environmental, and the game chair data from Pro and amateur players.
1 code implementation • 29 Nov 2020 • Anton Smerdov, Andrey Somov, Evgeny Burnaev, Bo Zhou, Paul Lukowicz
In this article, we propose the methods based on the sensor data analysis for predicting whether a player will win the future encounter.
BIG-bench Machine Learning Interpretable Machine Learning +8
3 code implementations • 2 Nov 2020 • Anton Smerdov, Bo Zhou, Paul Lukowicz, Andrey Somov
An important feature of the dataset is simultaneous data collection from five players, which facilitates the analysis of sensor data on a team level.
Ranked #1 on Skills Evaluation on eSports Sensors Dataset
1 code implementation • 18 Aug 2019 • Anton Smerdov, Evgeny Burnaev, Andrey Somov
Today's competition between the professional eSports teams is so strong that in-depth analysis of players' performance literally crucial for creating a powerful team.
1 code implementation • 18 Aug 2019 • Anton Smerdov, Anastasia Kiskun, Rostislav Shaniiazov, Andrey Somov, Evgeny Burnaev
eSports is the rapidly developing multidisciplinary domain.