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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Veröffentlicht in:	The ... International Winter Conference on Brain-Computer Interface S. 1 - 4
Hauptverfasser:	Kim, Jun-Young, Kim, Deok-Seon, Lee, Seo-Hyun
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 24.02.2025
Schlagworte:	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
Online-Zugang:	Volltext
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