A review on the computational methods for emotional state estimation from the human EEG

DOI10.1155/2013/573734zbMath1275.92047OpenAlexW2004204487WikidataQ30455134 ScholiaQ30455134MaRDI QIDQ382622

Miyoung Kim, Eunmi Oh, Sung-Phil Kim, Min-Ki Kim

Publication date: 21 November 2013

Published in: Computational \& Mathematical Methods in Medicine (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2013/573734

Mathematics Subject Classification ID

Neural biology (92C20) Biomedical imaging and signal processing (92C55) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Theory of languages and software systems (knowledge-based systems, expert systems, etc.) for artificial intelligence (68T35)

Related Items (1)

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

Cites Work

• Neural Decoding with Hierarchical Generative Models
• Sequential Monte Carlo Point-Process Estimation of Kinematics from Neural Spiking Activity for Brain-Machine Interfaces
• Sequential Bayesian Decoding with a Population of Neurons
• Unnamed Item

This page was built for publication: A review on the computational methods for emotional state estimation from the human EEG