Applying Brain Computer Interface Technology for Playing Games

  • Ankit Mehta Student, Department of Computer Engineering, Army Institute of Technology, Pune, INDIA
  • Adarsh Singh Student, Department of Computer Engineering, Army Institute of Technology, Pune, INDIA
  • Anshu Kumar Student, Department of Computer Engineering, Army Institute of Technology, Pune, INDIA
  • Ankit Katewa Student, Department of Computer Engineering, Army Institute of Technology, Pune, INDIA
  • Dr. N K Bansode Professor, Department of Computer Engineering, Army Institute of Technology, Pune, INDIA
Keywords: Neurosky Brain Wave Kit, Electroencephalography (EEG) Devices, Human Computer Interaction, Brain Computer Interface, Maze Game, Games, A-Star

Abstract

Brain Computer Interfaces are specialized systems that allows users to control computer applications using their brain waves.   Initially, BCI were mostly used in medical field. But after some research and thanks to consumer-grade electroencephalography (EEG) devices, many applications and research opportunities were opened outside of the medical field. One particular area that is gaining more evidence due to the arrival consumer-grade devices is that of computer games, as it allows more user-friendly applications of BCI technology for the general public.  In this report, we are going to talk about one of those games, Maze game.  It will be a 2D maze, path known to the user.  Using the EEG device named Neurosky Brain Wave Kit user will be able to move the avatar in order to reach the goal from the starting position.

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References

Explaining Computers, Brain-Computer Interfaces. 2018). Available at: https://www.youtube.com/.

https://doi.org/10.1155/2012/124728.

Wikipedia, Brain Computer Interface. Available at: https://en.wikipedia.org/wiki/Brain.

https://variety.com/2018/gaming/features/brain-computerinterfaceneurable-1203036143/.

Hangman BCI: An Unsupervised Adaptive Self-Paced Brain Computer Interface for Playing Games. Available at: https://www.sciencedirect.com/science/article/pii/S001048251200042X.

Brain-Computer Interface Games Based on Consumer-Grade EEG Devices: A Systematic Literature Review. Available at: https://www.tandfonline.com/doi/abs/10.1080/10447318.2019.1612213?.

A Review of Brain-Computer Interface Games and an Opinion Survey from Researchers, Developers and Users. Available at: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4178978/sensors-14-14601.

https://github.com/ankitstha03/neuropy3.

Published
2021-06-30
How to Cite
Ankit Mehta, Adarsh Singh, Anshu Kumar, Ankit Katewa, & Dr. N K Bansode. (2021). Applying Brain Computer Interface Technology for Playing Games. International Journal of Engineering and Management Research, 11(3), 213-220. https://doi.org/10.31033/ijemr.11.3.34
Section
Articles

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