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EEG Based Emotion Sensing using convolutional neural networks

Signal Processing 2022-01-11 v1

Abstract

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.

Keywords

Cite

@article{arxiv.2201.03432,
  title  = {EEG Based Emotion Sensing using convolutional neural networks},
  author = {Shivaditya Shivganesh},
  journal= {arXiv preprint arXiv:2201.03432},
  year   = {2022}
}

Comments

Preliminary should not be taken to value

R2 v1 2026-06-24T08:45:07.226Z