emg2qwerty
Every keystroke of 108 typists, paired with their wrist signals
Latest: NeurIPS 2024 release (arXiv Oct 2024)
The largest public surface-EMG dataset for touch typing: 346 hours across 1,135 sessions from 108 users wearing wrist sEMG bands while typing on QWERTY keyboards, with ground-truth keystrokes and reproducible baselines. Released by Reality Labs at NeurIPS 2024 (Datasets & Benchmarks track) to spark external neuromotor-interface research.
Why it matters
The largest public surface-EMG typing dataset: 346 hours across 1,135 sessions from 108 users, with ground-truth keystrokes and reproducible baselines. Released at NeurIPS 2024 under CC-BY-NC 4.0 so outside labs can work on wrist-based text entry without building a capture rig, the same problem Meta's Neural Band tackles in products.
Facts
- 346 hours / 108 users / 1,135 sessions — the largest sEMG typing corpus ever released; a direct precursor to the typing and handwriting decoders in the 2025 Nature paper and the shipped Neural Band.
Try it yourself
Dataset and baselines on GitHub ↗ Read the paper ↗
Lineage
Sources
arXiv ↗GitHub · emg2qwerty ↗Meta AI blog ↗