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
相关论文
共 50 条
  • [31] Predicting the Growth Value of Technology Enterprises with an Optimized Back-Propagation Neural Network
    Lai, Han
    Informatica (Slovenia), 2024, 48 (16): : 105 - 112
  • [32] Application of Improved Back-propagation Neural Network to the Technologic Processing of Korshunskite Whiskers
    Ren Qingli
    Luo Qiang
    Yang Miaomiao
    HIGH-PERFORMANCE CERAMICS VIII, 2014, 602-603 : 312 - 315
  • [33] Back-propagation neural network modeling for a pulse tube refrigerator with passive displacer
    Zheng, Pu
    Wang, Lifeng
    Ji, Yuzhe
    Zeng, Yangping
    Chen, Xi
    APPLIED THERMAL ENGINEERING, 2022, 211
  • [34] Back-propagation neural network for performance prediction in trickling bed air biofilter
    Rene, Eldon R.
    Maliyekkal, Shihabudeen M.
    Philip, Ligy
    Swaminathan, T.
    INTERNATIONAL JOURNAL OF ENVIRONMENT AND POLLUTION, 2006, 28 (3-4) : 382 - 401
  • [35] Artificial Neural Network based Weather Prediction using Back Propagation Technique
    Kakar, Saboor Ahmad
    Sheikh, Naveed
    Naseem, Adnan
    Iqbal, Saleem
    Rehman, Abdul
    Kakar, Aziz Ullah
    Kakar, Bilal Ahmad
    Kakar, Hazrat Ali
    Khan, Bilal
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2018, 9 (08) : 462 - 470
  • [36] Composite Linkage Mapping Using Back-Propagation Artificial Neural Networks
    Li, Xue-Bin
    Yu, Xiao-Ling
    PROGRESS IN MEASUREMENT AND TESTING, PTS 1 AND 2, 2010, 108-111 : 285 - 290
  • [37] Conjugate gradient back-propagation based artificial neural network for real time power quality assessment
    Khadse, Chetan B.
    Chaudhari, Madhuri A.
    Borghate, Vijay B.
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2016, 82 : 197 - 206
  • [38] Calibration of a 2x2 Optical Switch Based on the Back-Propagation Artificial Neural Network
    Gao, Wei
    Lu, Liangjun
    Zhou, Linjie
    Chen, Jianping
    2019 18TH INTERNATIONAL CONFERENCE ON OPTICAL COMMUNICATIONS AND NETWORKS (ICOCN), 2019,
  • [39] Rule extraction from neural network trained using deep belief network and back propagation
    Chakraborty, Manomita
    Biswas, Saroj Kumar
    Purkayastha, Biswajit
    KNOWLEDGE AND INFORMATION SYSTEMS, 2020, 62 (09) : 3753 - 3781
  • [40] A Back-propagation Neural Network Based Method for Post Life Expectancy Estimation of Thoracic Surgery Patients
    Pandey, Abhishek Kumar
    Khan, Mohd Anas
    Swetapadma, Aleena
    PROCEEDINGS OF THE 2017 INTERNATIONAL CONFERENCE ON SMART TECHNOLOGIES FOR SMART NATION (SMARTTECHCON), 2017, : 912 - 916