标题: | Design of Intelligent EEG System for Human Emotion Recognition with Convolutional Neural Network |
作者: | Wang, Kai-Yen Ho, Yun-Lung Huang, Yu-De Fang, Wai-Chi 電子工程學系及電子研究所 Department of Electronics Engineering and Institute of Electronics |
关键字: | Emotion Recognition;Convolutional Neural Network;Deep Learning;Hardware Machine Learning;Real-time EEG System;Affective Computing |
公开日期: | 1-一月-2019 |
摘要: | 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%. |
URI: | http://hdl.handle.net/11536/153280 |
ISBN: | 978-1-5386-7884-8 |
期刊: | 2019 IEEE INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE CIRCUITS AND SYSTEMS (AICAS 2019) |
起始页: | 142 |
结束页: | 145 |
显示于类别: | Conferences Paper |