nm000107 NEMAR-native dataset

FRL Wrist Control: Wrist Movement Decoding from Surface Electromyography

This dataset comprises wrist-based surface electromyography (sEMG) recordings from 100 participants performing continuous cursor control via wrist flexion and extension movements. Synchronized motion capture provides ground-truth wrist angles, enabling evaluation of sEMG-based decoding of motor intent. The study demonstrates the feasibility of gesture-free, non-invasive neuromotor interfaces for human-computer interaction, with applications to AR/VR navigation and assistive control systems. Note: Raw data contains duplicate timestamps and irregular sampling in many sessions; post-processing includes duplicate removal and resampling to regular 2000 Hz intervals.

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/nm000107), 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 nm000107
cd nm000107 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/nm000107/ — 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.nm000107

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Files

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