Demo: Real-time EEG Based Control of a 19 Degree of Freedom Prosthetic Hand

In this demo, attendees will witness real-time, non-invasive brain–machine control of a prosthetic hand with 19 degrees of freedom (2–3x the functionality of today’s leading commercial prosthetics).

The system combines two key innovations: - Custom high-density EEG headset (512 channels, wireless): A patent-pending dry-electrode montage that dramatically increases spatial resolution and signal quality compared to existing research- or consumer-grade EEG devices. - Next-generation prosthetic hand (19 DOF, fully actuated): A patent-pending platform with fine-grained finger, wrist, and grip articulation, enabling naturalistic hand movements far beyond preset grip patterns.

Together, these components allow us to decode motor imagery in real time and map brain signals to a variety of gestures. Our deep learning models are trained on proprietary high-density EEG datasets to translate thought into precise motor output, enabling intuitive control without reliance on EMG or preprogrammed gestures.

The demo will showcase two interactive experiences: - Brain-to-hand control: Attendees will observe live decoding of motor imagery into gestures that actuate the prosthetic hand in real time. - Teleoperation: We will demonstrate the full range of 19 degrees of freedom, highlighting fine motor tasks, continuous joint control, and the potential for applications beyond prosthetics, such as remote robotics and human–machine collaboration.

This work aligns directly with the Brain and Body workshop themes, addressing the gap between neural intent and embodied action. By combining ultra-dense non-invasive neural sensing with advanced robotics, we move toward naturalistic, high-dimensional interfaces that extend human capability.

Attendees will leave with: - A concrete understanding of the technical and practical advantages of high-density non-invasive EEG for motor decoding. - An appreciation for how deep learning enables scalable, real-time translation from brain signals to movement. - A vision of the future where brain-driven control is not limited to low-DOF prosthetics but extends to complex robotic systems and everyday human–machine interaction.

This demo represents the first public demonstration of our integrated platform and highlights the feasibility of high-bandwidth, non-invasive brain–robot interfaces.