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// Connecting minds to machines
Applied BCI Research
at Virginia Tech.
Built by undergraduates.
NeuroTech@VT builds real, working brain–computer interface systems. Currently, we're building an affordable add-on that turns any electric wheelchair into a mind-controlled one. We operate at the intersection of machine learning, neuroscience and hardware design — proving that serious BCI research doesn't require a PhD lab.
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Project Overview

We are building an add-on for electric wheelchairs that translates imagined motion (motor imagery) into movement

By developing an add-on that can sit on top of most electric wheelchair joysticks instead of working with direct wiring of a specific wheelchair model, we aim to make our solution more accessible and customizable.

Learn more about our research on our EEG‑wheelchair page.

Our team spans two complementary subteams:

  • The hardware team builds the physical add‑on that mounts on the joystick and interfaces with the wheelchair electronics. [add details later]
  • The software team works on building ML models to discern the user's imagined motion in real time, and bridging the ML model's output to the add-on's firmware, so that the wheelchair actually moves according to the user's intentions.

Meet the team members driving these efforts on our team page.