@inproceedings{0715d409ce6741f7a5e9b8319e8bc1eb,
title = "Design of Intelligent EEG System for Human Emotion Recognition with Convolutional Neural Network",
abstract = "Emotions play a significant role in the field of affective computing and Human-Computer Interfaces(HCI). In this paper, we propose an intelligent human emotion detection system based on EEG features with a multi-channel fused processing. We also proposed an advanced convolutional neural network that was implemented in VLSI hardware design. This hardware design can accelerate both the training and classification processes and meet real-time system requirements for fast emotion detection. The performance of this design was validated using DEAP [1] database with datasets from 32 subjects, the mean classification accuracy achieved is 83.88%.",
keywords = "Affective Computing, Convolutional Neural Network, Deep Learning, Emotion Recognition, Hardware Machine Learning, Real-time EEG System",
author = "Wang, {Kai Yen} and Ho, {Yun Lung} and Huang, {Yu De} and Fang, {Wai Chi}",
year = "2019",
month = mar,
doi = "10.1109/AICAS.2019.8771581",
language = "English",
series = "Proceedings 2019 IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "142--145",
booktitle = "Proceedings 2019 IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2019",
address = "United States",
note = "1st IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2019 ; Conference date: 18-03-2019 Through 20-03-2019",
}