FRL Handwriting: Handwriting Decoding from Surface Electromyography
NEMAR Dataset nm000106: handwriting - Handwriting movement detection from EMG
- Participants
- 100
- Size
- 45.3 GB
- Version
- v2.0.0
- Updated
- Jul 10, 2026
7 results for "Actigraphy" · ranked by relevance
NEMAR Dataset nm000106: handwriting - Handwriting movement detection from EMG
…However, as the full actigraphy file is included in this data set…
This EEG dataset comprises recordings from children performing letter discrimination and visual search tasks across three experimental stages: pre-intervention baseline, intervention measurement, and post-intervention assessment. Participants were assigned to intervention and control groups to evaluate the effects of embodied learning on literacy-related neural processing. The dataset includes event markers corresponding to stimulus presentations of letters 'b' and 'd', enabling analysis of neural responses to letter discrimination and visual search performance.
…electroencephalogram outperforms manual scoring and actigraphy', Mikkelsen et al 2018, https://doi…
This dataset contains neuroimaging data from an experiment investigating the neural processing of numbers, letters, and false fonts presented as single items or strings. The study employs event-related experimental design with two runs, each utilizing distinct stimulus categories marked by specific trigger codes to enable precise temporal analysis of brain responses to different visual stimuli. Data were acquired using magnetoencephalography (MEG).
This dataset contains raw EEG recordings from participants performing a Braille letter discrimination task, in which Braille letters were presented to the left and right index fingers via Braille cells. The data were collected to investigate the transformation of sensory to perceptual representations of Braille letters in the visually deprived brain. Recordings were made using BrainVision hardware and are organized following the BIDS-EEG standard. For some participants, EEG recording was stopped and restarted within a session, resulting in separate runs, and some participants completed a second session.
This dataset contains electroencephalography (EEG) recordings from a study investigating the illusion of agency over electrically-actuated bodily movements. The research examines how individuals perceive control over movements induced via electrical muscle stimulation, contributing to the understanding of the sense of agency in human-computer interaction and body perception. Data were collected from human participants and organized according to the Brain Imaging Data Structure (BIDS) standard.