Review of Applications in Brain-Computer Interfaces Using the EMOTIV Insight Headset

This review explores advancements in Brain-Computer Interfaces (BCIs) using the EMOTIV Insight headset, a non-invasive electroencephalography (EEG) device. The study addresses the rising interest in affordable EEG devices for applications like robotic control, emotional and cognitive analysis, assistive technologies, and security in learning models. By synthesizing findings from multiple studies, the review emphasizes the EMOTIV Insight's strengths, including ease of use and wireless connectivity, alongside its limitations in signal fidelity and artifact management due to its five-channel configuration. Studies from 2016 to 2024 showcase the device's role in fields such as neurofeedback, mental health monitoring, and assistive technology development. Key findings highlight BCIs' success in controlling robotic systems, enhancing emotional and cognitive analyses, and improving accessibility for individuals with disabilities. However, challenges such as signal noise, user variability, and the need for advanced machine learning algorithms are also discussed. The review concludes that while EMOTIV Insight is a valuable tool for BCI research, addressing its challenges is essential to unlock its full potential. Continued advancements could significantly enhance the quality of life for individuals with disabilities and provide deeper insights into human cognition and emotion.