BCI Game using EEG-based Emotion Recognition

This project presents a gaming system that utilizes brain-computer interface (BCI) technology to detect players' emotions in real-time using electroencephalography (EEG) signals.The game adjusts its difficulty level based on the player's emotional state, creating a unique and truly immersive experience.By integrating machine learning algorithms with EEG data, our system enables a new dimension of humancomputer interaction, where players' emotional states dynamically influence the gaming experience.This BCI approach aims to enhance player engagement, immersion, and emotional investment in games, while also providing insights into the emotional responses of players.This innovative system contributes to the development of affective computing in gaming, demonstrating the vast potential for EEG-based emotion recognition to revolutionize the gaming industry.