Development of filtered bispectrum for EEG signal feature extraction in automatic emotion recognition using artificial neural networks

DOI10.3390/a10020063zbMath1461.62203OpenAlexW2620200130MaRDI QIDQ1662736

Benyamin Kusumoputro, Anak Agung Putri Ratna, Prima Dewi Purnamasari

Publication date: 20 August 2018

Published in: Algorithms (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3390/a10020063

zbMATH Keywords

emotion recognitionEEGbispectrumBPNN

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Biomedical imaging and signal processing (92C55) Neural networks for/in biological studies, artificial life and related topics (92B20) Neural nets and related approaches to inference from stochastic processes (62M45) Applications of statistics to psychology (62P15)

Uses Software

• PhysioToolkit
• BCI2000

Cites Work

• A review on the computational methods for emotional state estimation from the human EEG
• An Introduction to Polyspectra
• Unnamed Item

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