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sEMG-based third arm

Reconstructing the full 3D pose of the hand from forearm EMG, then using it to control an extra robotic limb, not just a prosthetic.

2026–27In progressEMGMLHardware

The idea

This project builds on the EMG-to-hand-pose work from last year’s ASL, prosthetics and piano teams. The question: using MindRove EMG sensors placed away from the wrist, can we reconstruct a continuous 3D hand pose, rather than only classifying a small set of gestures?

The team will then use that control for a third limb: an extra robotic arm worn alongside your own two, rather than only a replacement prosthetic. For background, see this research paper on supernumerary robotic limbs.

What the team will do

  • Collect synchronized EMG and hand-pose data
  • Train models that reconstruct individual joint angles from EMG
  • Test how well they hold up across recording sessions and electrode placements

Later this year or in 2027–28, this can grow into real-time control of a fully dynamic prosthetic hand.

How we’ll measure it

  • Dropped or crushed objects
  • Grip-force error
  • Task completion time
  • Performance without visual feedback
  • Discrete versus proportional EMG control