EEG Based Emotion Identification Using Unsupervised Deep Feature Learning

Li, Xiang; Zhang, Peng; Song, Dawei; Yu, Guangliang; Hou, Yuexian and Hu, Bin (2015). EEG Based Emotion Identification Using Unsupervised Deep Feature Learning. In: SIGIR2015 Workshop on Neuro-Physiological Methods in IR Research, 13 Aug 2015, Santiago, Chile.

URL: https://docs.google.com/viewer?a=v&pid=sites&srcid...

Abstract

Capturing user’s emotional state is an emerging way for implicit relevance feedback in information retrieval (IR). Recently, EEG-based emotion recognition has drawn increasing attention. However, a key challenge is effective learning of useful features from EEG signals. In this paper, we present our on-going work on using Deep Belief Network (DBN) to automatically extract high-level features from raw EEG signals. Our preliminary experiment on the DEAP dataset shows that the learned features perform comparably to the use of manually generated features for emotion recognition.

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