Sparse Coding Techniques with Deep Neural Network for EEG Auto Encoding: Enhancing Feature Representation Efficiency

Research on emotion classification using Brain-Computer Interface (BCI) systems is an intriguing aspect. Deep learning has recently been used to classify emotions in BCI systems, and better results have been seen when compared to more conventional classification techniques. Although the high dimensi...

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Bibliographic Details

Published in:	International Conference on Recent Advances in Information Technology (Online) pp. 1 - 8
Main Authors:	Rama, M., Nalini, T, Khyathi, P, Saikiran, N., Silpa, Ch
Format:	Conference Proceeding
Language:	English
Published:	IEEE 06.03.2025
Subjects:	Autoencoders Autoencoding Deep learning Electroencephalography Encoding Feature Learning Feature Representation Noise Representation learning Root mean square Scalability Signal analysis Signal reconstruction SparseCoding
ISSN:	2994-287X
Online Access:	Get full text
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