Project
Exoskeleton
Neurally connected, body-integrated systems for muscular rehabilitation.
The research question
Can a wearable device driven by neural signals help people — particularly stroke survivors — recover muscular function? The project builds the lab’s biosensing and energy-storage work into a device that responds to what the wearer intends to do.
The approach
The exoskeleton combines several parts of the lab’s research:
- Neural sensing. Brainwave (EEG) signals are classified with machine-learning models so the device can be driven by neural activity, bridging silicon-electrical systems with neural-electrical systems.
- Sensor suites and computer vision. Body-mounted sensors are combined with computer-vision models to understand posture and motion alongside the neural signals.
- Lab integration. The project draws on the lab’s biosensing platform for physiological measurement and on its carbon-based energy-storage research for powering wearable hardware.
The team
Exoskeleton is one of the largest groups in the lab, with members from mechanical engineering, bioengineering, applied mathematics, and public health. You can find the current group on the team page.