@inproceedings{2bf6ab32b61a458ba46cc41942142b9c,
title = "Data augmentation for eeg-based emotion recognition with deep convolutional neural networks",
abstract = "Emotion recognition is the task of recognizing a person{\textquoteright}s emotional state. EEG, as a physiological signal, can provide more detailed and complex information for emotion recognition task. Meanwhile, EEG can{\textquoteright}t be changed and hidden intentionally makes EEG-based emotion recognition achieve more effective and reliable result. Unfortunately, due to the cost of data collection, most EEG datasets have small number of EEG data. The lack of data makes it difficult to predict the emotion states with the deep models, which requires enough number of training data. In this paper, we propose to use a simple data augmentation method to address the issue of data shortage in EEG-based emotion recognition. In experiments, we explore the performance of emotion recognition with the shallow and deep computational models before and after data augmentation on two standard EEG-based emotion datasets. Our experimental results show that the simple data augmentation method can improve the performance of emotion recognition based on deep models effectively.",
keywords = "Data augmentation, EEG, Emotion recognition",
author = "Fang Wang and Zhong, {Sheng Hua} and Jianfeng Peng and Jianmin Jiang and Yan Liu",
year = "2018",
month = jan,
day = "1",
doi = "10.1007/978-3-319-73600-6_8",
language = "English",
isbn = "9783319735993",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer-Verlag",
pages = "82--93",
editor = "Ahmed Elgammal and Chalidabhongse, {Thanarat H.} and Supavadee Aramvith and Yo-Sung Ho and Klaus Schoeffmann and Ngo, {Chong Wah} and O'Connor, {Noel E.} and Moncef Gabbouj",
booktitle = "MultiMedia Modeling - 24th International Conference, MMM 2018, Proceedings",
note = "24th International Conference on MultiMedia Modeling, MMM 2018 ; Conference date: 05-02-2018 Through 07-02-2018",
}