Matthew Waxer

Papers

Total Citations

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About

Matthew Waxer is a pioneering researcher in brain-machine interfaces (BMI) and assistive neurotechnology. His work focuses on non-invasive electroencephalogram (EEG)-based systems that translate neural activity into mechanical action, with the goal of restoring function for individuals with severe motor disabilities. Waxer’s most notable contribution is the development of a brain-controlled 3D sonar scanner, a prototype system that allows users to control a switch using EEG signals alone. This early work, published in 2008, laid foundational principles for integrating neural control with environmental sensing and assistive robotics. Though his citation count is modest—with his key paper receiving 3 citations—Waxer’s research represents an important step toward practical, non-invasive BMI systems that can be used in real-world settings. His work is particularly valued for its emphasis on simplicity and accessibility, aiming to create low-cost, easy-to-use interfaces that do not require surgical implants. Waxer’s contributions continue to inspire researchers exploring EEG-based control for rehabilitation and human-computer interaction.