Exploring the Frontier: Transformer-Based Models in EEG Signal Analysis for Brain-Computer Interfaces
MA Pfeffer, SSH Ling, JKW Wong - Computers in Biology and Medicine, 2024 - Elsevier
This review systematically explores the application of transformer-based models in EEG
signal processing and brain-computer interface (BCI) development, with a distinct focus on …
signal processing and brain-computer interface (BCI) development, with a distinct focus on …
Emotion Recognition Through Physiological Signals and Brain Sensing
D Shah, R Rane - International Conference on Information …, 2023 - Springer
Throughout many distresses, more emotional discriminative detail in attributes has been the
decisive element in increasing classification in electroencephalograph (EEG) emotion …
decisive element in increasing classification in electroencephalograph (EEG) emotion …
[PDF][PDF] Emotion Detection using Sparse Auto Encoder, Deep Learning and LSTM Model
D Shah, R Rane, S Kinger - International Journal of Computing …, 2023 - researchgate.net
There is an increasing need for distress emotion acknowledgement and channeling the
same is very important. There is an increasing need for machines to understand human and …
same is very important. There is an increasing need for machines to understand human and …
Emotion Detection using Stack Auto Encoder, Deep Learning and LSTM Model
There is an increasing need for distress emotion acknowledgement and channeling the
same is very important. There is an increasing need for machines to understand human and …
same is very important. There is an increasing need for machines to understand human and …