Towards Scalable Handwriting Communication via EEG Decoding and Latent Embedding Integration

In recent years, brain-computer interfaces have made advances in decoding various motor-related tasks, including gesture recognition and movement classification, utilizing electroencephalogram (EEG) data. These developments are fundamental in exploring how neural signals can be interpreted to recogn...

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Vydané v:	The ... International Winter Conference on Brain-Computer Interface s. 1 - 4
Hlavní autori:	Kim, Jun-Young, Kim, Deok-Seon, Lee, Seo-Hyun
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 24.02.2025
Predmet:	Accuracy Brain modeling brain-computer interface Brain-computer interfaces classification Data visualization Decoding deep-learning electroencephalogram Electroencephalography Feature extraction Motors signal processing Soft sensors Symbols
ISSN:	2572-7672
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