Emotion extraction based on multi bio-signal using back-propagation neural network

被引:21
作者
Yoo, Gilsang [1 ]
Seo, Sanghyun [2 ]
Hong, Sungdae [3 ]
Kim, Hyeoncheol [1 ]
机构
[1] Korea Univ, Dept Comp Sci & Engn, 145 Anam Ro, Seoul, South Korea
[2] Sungkyul Univ, Dept MediaSoftware, 53 SungkyulDaehak Ro, Anyang Si, Kyeonggi Do, South Korea
[3] Seokyeong Univ, Dept Film & Digital Media, 16-1 Jungneung Dong Sungbuk Ku, Seoul, South Korea
基金
新加坡国家研究基金会;
关键词
Emotion extraction; Bio signal; Back propagation; Artificial neural network; RECOGNITION; RESPONSES;
D O I
10.1007/s11042-016-4213-5
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This study proposes a system that can recognize human emotional state from bio-signal. The technology is provided to improve the interaction between humans and computers to achieve an effective human-machine that is capable for intelligent interaction. The proposed method is able to recognize six emotional states, such as joy, happiness, fear, anger, despair, and sadness. These set of emotional states are widely used for emotion recognition purposes. The result shows that the proposed method can distinguish one emotion compared to all other possible emotional states. The method is composed of two steps: 1) multi-modal bio-signal evaluation and 2) emotion recognition using artificial neural network. In the first step, we present a method to analyze and fix human sensitivity using physiological signals, such as electroencephalogram, electrocardiogram, photoplethysmogram, respiration, and galvanic skin response. The experimental analysis shows that the proposed method has good accuracy performance and could be applied on many human-computer interaction devices for emotion detection.
引用
收藏
页码:4925 / 4937
页数:13
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