Datasets › putEMG

putEMG

Introduced in putEMG -- a surface electromyography hand gesture recognition dataset22 Aug 2019 archive 2025-07-28

putEMG and putEMG-Force datasets are databases of surface electromyographic activity recorded from forearm. Datasets allows for development of algorithms for gesture recognition and grasp force recognition. Experiment was conducted on 44 participants, with two repetitions separated by, minimum of one week. The dataset includes 7 active gestures (like hand flexion, extension, etc.) + idle and a set of trials with isometric contractions. sEMG was recorded using a 24-electrode matrix.

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 3 papers for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

No task tagged in the archive.

License archive 2025-07-28

CC BY-NC 4.0

Modalities archive 2025-07-28

No modality tagged.

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • putEMG

1 variant name, as the archive lists them.

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