emg2qwerty: A Large Dataset with Baselines for Touch Typing using Surface Electromyography
…domain shift from electrode placement) - Sequence-to-sequence learning (analogous to automatic…
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- 372 GB
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- May 16, 2026
100 results for "learning from label proportions" · page 5 of 10 · ranked by relevance
…domain shift from electrode placement) - Sequence-to-sequence learning (analogous to automatic…
…4 - **Class labels**: rs, easy, medium, diff - **Study design**: Passive BCI neuroergonomics…
…Handwriting Recognition from EMG ## Overview **Dataset**: handwriting - Imagined handwriting from wrist-based…
…4 Class labels: rs, easy, medium, diff Study design: Passive BCI neuroergonomics…
…RECORDING SETUP These data were collected from June 2018 to August 2019…
…Supramodal processing optimizes visual perceptual learning and plasticity. Neuroimage, 93, 32-46…
…Machine Learning Group, Berlin Institute of Technology, Bernstein Focus Neurotechnology, Berlin, Neurophysics…
…After a 400 ms interstimulus interval, a probe from either the first…
…2 - **Class labels**: left_hand, right_hand - **Trial duration**: 8.0 s…
…From the resulting three scorings, a **consensus label** was derived: each epoch…