FRL Handwriting: Handwriting Decoding from Surface Electromyography
NEMAR Dataset nm000106: handwriting - Handwriting movement detection from EMG
- Participants
- 100
- Size
- 75.5 GB
- Version
- v2.0.0
- Updated
- Jul 10, 2026
100 results for "multi-class motor imagery" · page 8 of 10 · ranked by relevance
NEMAR Dataset nm000106: handwriting - Handwriting movement detection from EMG
…imagery - **Number of classes**: 4 - **Class labels**: right_hand, left_hand, rest…
Imported from OpenNeuro ds003343
…The offline experiments consisted of recording participants´ EEG signals during motor imagery…
Imported from OpenNeuro ds003190
…motor_imagery - **Imagery tasks**: handwriting of letters a, d, e, f, j…
Imported from OpenNeuro ds000117
…imagery - **Number of classes**: 10 - **Class labels**: dog, bird, fish, pentagram, square…
This dataset comprises electroencephalography (EEG) recordings from 13 participants performing semantic imagination and perception tasks across visual and auditory modalities. Participants were presented with stimuli from three semantically dissimilar categories (guitar, flower, penguin) in pictorial, orthographic, and auditory formats. The dataset includes raw, preprocessed, and epoched EEG data acquired using a 124-channel ANT-Neuro system, providing a resource for investigating neural correlates of semantic processing and cross-modal perception.
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on004447-blue…