nm000105 NEMAR-native dataset

FRL Discrete Gestures: Hand Gesture Recognition from Surface Electromyography

This dataset comprises wrist-based surface electromyography (sEMG) recordings from 100 participants performing nine discrete hand gestures (four thumb swipes, four finger-to-thumb pinches, and one thumb tap) for gesture-based human-computer interaction. Recorded at 2000 Hz using a 16-channel dry electrode wristband, the dataset enables development and evaluation of generic machine learning models for real-time gesture classification without user calibration. The data supports research in neuromotor interfaces for AR/VR applications, accessibility, and alternative input modalities.

EMG
Download zip Issues GitHub

Compute on this dataset

Two routes today, with a third (in-browser one-click submission) landing soon.

  1. NeuroScience Gateway (NSG) portal.

    NSG runs EEGLAB / Brainstorm / MNE pipelines on supercomputing time donated by SDSC. Create an account, point a job at this dataset's S3 prefix (s3://nemar/nm000105), and submit.
    nsgportal.org →

  2. Local processing with nemar-cli.

    Pull the dataset to your machine and run any toolbox locally. Honors the published version pinning. 

    npm install -g nemar-cli
nemar dataset clone nm000105
cd nm000105 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/nm000105/ — the manifest carries presigned S3 URLs.

Direct compute access is coming soon. One-click NSG submission from this page is scoped for a follow-up phase. Tracked on nemarOrg/website#6.
DOI 10.82901/nemar.nm000105

Loading demographics…

Files

Loading file index…