Revealing critical channels and frequency bands for emotion recognition from EEG with deep belief network

• Published in: 2015 7th International IEEE/EMBS Conference on Neural Engineering (NER) pp. 154 - 157
• Main Authors: Wei-Long Zheng, Hao-Tian Guo, Bao-Liang Lu
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.04.2015
• Subjects: Accuracy; Electrodes; Electroencephalography; Emotion recognition; Feature extraction; Support vector machines

For EEG-based emotion recognition tasks, there are many irrelevant channel signals contained in multichannel EEG data, which may cause noise and degrade the performance of emotion recognition systems. In order to tackle this problem, we propose a novel deep belief network (DBN) based method for exam...