100 results for "handwriting decoding" · page 7 of 10 · ranked by relevance
…transfer learning for motor imagery decoding. The dataset contains 32-channel EEG…
This dataset contains raw and processed EEG recordings from participants performing silent visual reading of naturalistic narrative stories, investigating auditory representations of words during silent reading. Data include BrainVision-format EEG recordings organized according to BIDS, along with derivative processed EEG signals, metadata linking sessions to stories and runs, and word-level feature embeddings.
…design effects on imagined speech decoding performance. ## Dataset Summary | Property | Value | |---|---| | Subjects…
BigP3BCI Study P is a P300-based brain-computer interface dataset comprising EEG recordings from 19 healthy subjects across 2 sessions each, using a 9x8 character grid spelling paradigm. The dataset contains 32-channel EEG data sampled at 256 Hz with target and non-target visual stimuli annotated using HED 8.4.0 schema. This derivative dataset is part of the larger BigP3BCI collection, the largest public P300 BCI dataset, and is optimized for machine learning applications in BCI research.
…EEG2Code bitwise decoding Cross-Validation ---------------- Evaluation type: offline Performance (Original Study) ---------------------------- Accuracy…
This dataset contains simultaneous scalp and ear-EEG recordings from 6 healthy right-handed adults performing a motor execution task involving left and right hand fist clenching, cued by visual arrow stimuli. Recordings were made at 1000 Hz using a 122-channel Neuroscan SynAmps2 system, yielding 1114 trials, and are intended for benchmarking motor task classification algorithms such as EEGNet. The dataset was converted to BIDS format using MOABB and originates from a study investigating the utility of in-ear EEG sensing for motor task classification.
…The study investigates the feasibility of decoding natural reach-and-grasp neural…
…It may also be useful for benchmarking EEG analysis and neural decoding…
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