SimuStride lets lower‑limb amputees visualize and control a virtual prosthesis using their own muscle signals, pairing EMG‑driven intent with real‑time haptic feedback to retrain the brain and accelerate rehab.
A lightweight EMG sleeve reads residual‑limb muscle activity and maps intent to a tracked virtual prosthesis in AR. Haptic motors reinforce correct activation to build motor memory before fitting a physical prosthesis.
Signal processing extracts clean activation patterns from residual‑limb musculature to drive knee control in a virtual limb.
A 3D prosthesis aligns to the user in mixed reality, enabling task‑based training (gait cycles, toe taps, step‑overs) months earlier.
Vibrotactile cues guide timing and magnitude of contractions, reinforcing motor learning and body‑schema updates.
Pre‑pilot testing with lower‑limb amputees has shown encouraging signals for phantom‑limb pain relief and engagement. (Preliminary; not a medical claim.)
Participants reporting near‑term phantom pain reduction (pre‑pilot)
To begin guided, intent‑driven virtual movements
Designed for versatile rehab settings
We are incredibly fortunate to have raised $175K in funding from pitch competitions at both the university and national level, including:
University of Miami’s USTAAR accelerator grand prize to advance clinical readiness.
Nationally broadcast collegiate innovation competition.
Prize from NIH’s DEBUT Challenge recognizing impactful student medtech.
Engineers, industry experts, and advocates focused on restoring independence for amputees.
Clinics, therapists, or amputees interested in early evaluations, we’d love to talk.
General: postal.amber.7m@icloud.com
Partnerships & pilots: postal.amber.7m@icloud.com