lasfk/EEG-fNIRS-based-Handwriting-Trajectory-Dataset
Overview This dataset contains the raw multimodal signals and metadata. The goal of the competition is to predict the imagined handwriting class for each test trial using synchronized: EEG signals fNIRS signals The dataset is organized to support an end-to-end competition workflow: train_meta.csv provides labeled training trials test_meta.csv provides unlabeled test trials raw/ contains the corresponding raw EEG and fNIRS recordings Files… See the full description on the dataset page: https://huggingface.co/datasets/lasfk/EEG-fNIRS-based-Handwriting-Trajectory-Dataset.
Conversations for this repository live on Hugging Face.
CoolFace shows imported repositories read-only. Posting into someone else’s repository from here would need an authorised integration and the account holder’s consent, so the link goes to the source instead.
Open discussions on Hugging Face