This repository contains code for analysis of data collected from several sensors, including a smart chair, EMG, GSR, eye tracker, heart rate monitor, mouse, keyboard, environmental data, etc.
Sensor data represent activity of participants playing Counter-Strike: Global Offensive for about 30 minutes each. We present comprehensive data analysis in our papers eSports Pro-Players Behavior During the Game Events: Statistical Analysis of Data Obtained Using the Smart Chair and Understanding Cyber Athletes Behaviour Through a Smart Chair: CS:GO and Monolith Team Scenario.
If you find the code or the papers relevant to your research, please feel free to cite them as:
@INPROCEEDINGS{9060167,
author={A. {Smerdov} and E. {Burnaev} and A. {Somov}},
booktitle={2019 IEEE SmartWorld, Ubiquitous Intelligence Computing, Advanced Trusted Computing, Scalable Computing Communications, Cloud Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI)},
title={eSports Pro-Players Behavior During the Game Events: Statistical Analysis of Data Obtained Using the Smart Chair},
year={2019},
volume={},
number={},
pages={1768-1775},
doi={10.1109/SmartWorld-UIC-ATC-SCALCOM-IOP-SCI.2019.00314}}
@INPROCEEDINGS{8767295,
author={A. {Smerdov} and A. {Kiskun} and R. {Shaniiazov} and A. {Somov} and E. {Burnaev}},
booktitle={2019 IEEE 5th World Forum on Internet of Things (WF-IoT)},
title={Understanding Cyber Athletes Behaviour Through a Smart Chair: CS:GO and Monolith Team Scenario},
year={2019},
volume={},
number={},
pages={973-978},
doi={10.1109/WF-IoT.2019.8767295}}
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