Brain-Computer Interface for Color Perception in Healthcare Using AI and ML Techniques

In an era characterized by rapid technological advancement, our research focuses on the exciting convergence of gaming and brain-computer interface (BCI) technologies. Our main goal is to evaluate the accuracy and reliability of BCI technology in measuring color perception. These efforts require the careful application of artificial intelligence techniques that provide valuable insights into the ever-evolving field of human-computer interaction. To achieve this, we use an EEG device to record brain activity by immersing participants in a series of fascinating visual stimuli. We then carefully analyze this neural data using machine learning algorithms based primarily on Python. Our findings have important implications that extend far beyond gaming: the potential of BCI technology for understanding human cognition is very promising in a variety of areas, including healthcare, rehabilitation, entertainment, education, and groundbreaking research efforts. This study represents an important step in further exploring the ability of BCI technology to revolutionize our connection to the digital world and provide assistance to people with visual impairments.