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EEG-Based BCI Emotion Recognition: A Survey

Edgar P. TorresEscuela Politécnica Nacional, Facultad de Ingeniería de Sistemas, Departamento de Informática y Ciencias de la Computación, Quito 170143, EcuadorEdgar A. TorresEscuela Politécnica Nacional, Facultad de Ingeniería de Sistemas, Departamento de Informática y Ciencias de la Computación, Quito 170143, EcuadorMyriam Hernández-ÁlvarezEscuela Politécnica Nacional, Facultad de Ingeniería de Sistemas, Departamento de Informática y Ciencias de la Computación, Quito 170143, EcuadorSang Guun YooEscuela Politécnica Nacional, Facultad de Ingeniería de Sistemas, Departamento de Informática y Ciencias de la Computación, Quito 170143, Ecuador

2020en

ABI

Annotatsiya

Affecting computing is an artificial intelligence area of study that recognizes, interprets, processes, and simulates human affects. The user’s emotional states can be sensed through electroencephalography (EEG)-based Brain Computer Interfaces (BCI) devices. Research in emotion recognition using these tools is a rapidly growing field with multiple inter-disciplinary applications. This article performs a survey of the pertinent scientific literature from 2015 to 2020. It presents trends and a comparative analysis of algorithm applications in new implementations from a computer science perspective. Our survey gives an overview of datasets, emotion elicitation methods, feature extraction and selection, classification algorithms, and performance evaluation. Lastly, we provide insights for future developments.

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Identifikatorlar

DOI: 10.3390/s20185083

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