CognitoNavigo: EEG-Based Maze Game

Authors: Atharva Koli

Abstract: This paper presents CognitoNavigo, an EEG- based maze game that leverages Brain- Computer Interface (BCI) technology for interactive navigation. The system converts real- time EEG signals into control commands, allowing users to navigate a physical maze using their brain activity. The proposed approach involves EEG signal acquisition, feature extraction, and classification for interpreting user intentions. A distinctive maze design was developed using SolidWorks, featuring an innovative structure that enhances user engagement. The design ensures optimal placement of actuators and finalizing the ergonomic layout for user accessibility, and ideal integration of mechanical and electronic components. Detailed simulations and assembly models contribute to enhancing the system’s structural and functional effectiveness. Experiments trials demonstrated a 60% success rate in command recognition, with corresponding motor actuation. A threshold- based signal processing system proved crucial for reliable command interpretation. Notably, the results highlight the importance of adaptive user training, as participators progressively enhanced their control accuracy over time. The system showcases potential operations in cognitive training, neurorehabilitation, and brain- controlled gaming by effectively bridging human cognitive processes with physical actuation.