EEG-based chess game monitoring system

Ahmad Nizam, Aiman Danial (2024) EEG-based chess game monitoring system. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

This project successfully developed an EEG-based chess monitoring system, which analyzed players' cognitive and brain states after gameplay, in order to increase performance and provide deeper insight into mental processes. Using the MINDLINK EEG headset, the project complemented that with a webcam-based chessboard tracking system to capture the brain waves and synchronize them with the gameplay data. A GUI was developed in MATLAB for real-time monitoring and post-game analysis, while the data is safely stored in a local database for long-term tracking and performance evaluation. The system is also designed to deal with issues like capturing EEG data in a dynamic environment and processing brainwave patterns related to actual moves taken during a chess game. Results showed it works efficiently in giving feedback for action, helping players recognize emotions, reduce stress, and polish strategical thinking. It also gave better insight to coaches and researchers in the field of training techniques and cognitive research. This new development provides a simple yet secure tool with ample potential for the advancement of chess training, cognitive development, and the neuroscience of decision-making. While many challenges remain in the accurate recording of data from electroencephalogram (EEG) equipment and its integration into gaming metrics within a dynamic environment, the system has accommodated them quite well. The findings prove able to provide players with critical feedback about their mental performance, helping them identify their emotions, cope with stress, and improve their strategic thinking. The system enabled coaches and researchers to understand cognitive processes better so that they can train more effectively and contribute to the wider field of understanding how neuroscience works in chess. The achievement of project objectives resulted in a user-friendly tool for real-time monitoring of EEG data alongside chess game metrics, with the assurance of secure analysis. This innovation has tremendous improvements in chess coaching, progress in cognitive research, and investigation of principles across neurosciences and strategic gaming.

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