Feasibility Report for Non-Invasive Brain-Machine Interface (BMI) Project

This project aims to design and develop a non-invasive BMI system capable of enhancing human-device interaction for healthcare, assistive technologies, and commercial applications. Using EEG as the primary signal acquisition method, the project emphasizes accessibility, safety, and usability in both consumer and industrial domains. The inclusion of your leadership as project head adds significant value, as your extensive experience in multidisciplinary research and application-oriented strategies boosts the project’s potential for completion and success. 2. Objectives Develop an affordable and portable non-invasive BMI prototype. Target applications in assistive technology, gaming, and neurofeedback. Achieve at least 85% accuracy in signal processing and action translation. Establish partnerships with healthcare providers and technology investors.