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}}