arXiv:2201.03432
EEG Based Emotion Sensing using convolutional neural networks
원문 초록
Deep Learning has impacted various fields especially in bio-medical applications. Deep learning algorithms work well with both structured and unstructured data. Especially, convolutional neural network work well with signal-based data like EEG data. These types of data may or may not follow a pattern in their data. Algorithms like CNN help feature engineering and simplistic interpretation of the data. These algorithms are also better in comparison to other algorithms when generalised to a data belonging to larger data set.
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Dataset combining EEG, eye-tracking, and high-speed video for ocular activity analysis across BCI paradigms
A Statistical Approach for Synthetic EEG Data Generation
Decoding Covert Speech from EEG Using a Functional Areas Spatio-Temporal Transformer
EEG-CLIP : Learning EEG representations from natural language descriptions
Spatial Distillation based Distribution Alignment (SDDA) for Cross-Headset EEG Classification
YARE-GAN: Yet Another Resting State EEG-GAN
토론
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