A Real-Time and Two-Dimensional Emotion Recognition System Based on EEG and HRV Using Machine Learning

Yongxin Wei, Yunfan Lil, Mingyang Xu, Yifan Hua, Yukai Gong, Keisuke Osawa, Eiichiro Tanaka*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

With the research on mental health, rehabilitation training and other fields, obtaining people's real emotion feelings is frequently required in many fields. Emotion recognition method based on physiological signals can directly obtain people's emotion states and avoid pretending expression and emotional expression disorder. In physiological signals, Electroencephalogram (EEG) signal is commonly used in the emotion evaluation, and Heart Rate Variability (HRV) signal is related to people's excited feeling. This paper proposed an emotion recognition method based on EEG and HRV to do the emotion recognition work. This method aims to solve the accuracy problem of instant emotion recognition, and achieve a higher accuracy. According to Russell's model of emotion, the system in this paper use two dimensions, 'valence' and 'arousal', to describe people's emotion. The emotion recognition system we proposed combines more advanced neural network models and eigenvalues closely related to emotional states. This system uses DenseNet as the neural network model for machine learning process, which is more accurate than the general deep neural network. Using differential entropy as the main eigenvalue makes the system's ability to analyze emotions based on EEG more efficient.

Original languageEnglish
Title of host publication2023 IEEE/SICE International Symposium on System Integration, SII 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350398687
DOIs
Publication statusPublished - 2023
Event2023 IEEE/SICE International Symposium on System Integration, SII 2023 - Atlanta, United States
Duration: 2023 Jan 172023 Jan 20

Publication series

Name2023 IEEE/SICE International Symposium on System Integration, SII 2023

Conference

Conference2023 IEEE/SICE International Symposium on System Integration, SII 2023
Country/TerritoryUnited States
CityAtlanta
Period23/1/1723/1/20

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Computational Mechanics
  • Control and Optimization
  • Modelling and Simulation
  • Surgery
  • Instrumentation

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