EEG-Based BCI Emotion Recognition: A Survey.
Edgar P Torres PEdgar A TorresMyriam Hernández-ÁlvarezSang Guun YooPublished in: Sensors (Basel, Switzerland) (2020)
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.
Keyphrases
- deep learning
- artificial intelligence
- machine learning
- resting state
- autism spectrum disorder
- functional connectivity
- depressive symptoms
- big data
- borderline personality disorder
- endothelial cells
- working memory
- systematic review
- public health
- cross sectional
- current status
- induced pluripotent stem cells
- white matter