28 citations · 42 across the 5 of their papers we have counts for
4 papers · 1 filter
AI-enabled Prediction of eSports Player Performance Using the Data from Heterogeneous Sensors
Anton Smerdov, Evgeny Burnaev, Andrey Somov +1
The emerging progress of eSports lacks the tools for ensuring high-quality analytics and training in Pro and amateur eSports teams. We report on an Artificial Intelligence (AI) ena…
Collection and Validation of Psychophysiological Data from Professional and Amateur Players: a Multimodal eSports Dataset
Anton Smerdov, Bo Zhou, Paul Lukowicz +1
Proper training and analytics in eSports require accurately collected and annotated data. Most eSports research focuses exclusively on in-game data analysis, and there is a lack of…
Understanding Cyber Athletes Behaviour Through a Smart Chair: CS:GO and Monolith Team Scenario
Anton Smerdov, Anastasia Kiskun, Rostislav Shaniiazov +2
eSports is the rapidly developing multidisciplinary domain. However, research and experimentation in eSports are in the infancy. In this work, we propose a smart chair platform - a…
eSports Pro-Players Behavior During the Game Events: Statistical Analysis of Data Obtained Using the Smart Chair
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. There are two…