Role of machine learning and deep learning techniques in EEG-based BCI emotion recognition system: a review
Emotion is a subjective psychophysiological reaction coming from external stimuli which
impacts every aspect of our daily lives. Due to the continuing development of non-invasive …
impacts every aspect of our daily lives. Due to the continuing development of non-invasive …
[HTML][HTML] Toward cross-subject and cross-session generalization in EEG-based emotion recognition: Systematic review, taxonomy, and methods
A systematic review on machine-learning strategies for improving generalization in
electroencephalography-based emotion classification was realized. In particular, cross …
electroencephalography-based emotion classification was realized. In particular, cross …
Mind Meets Robots: A Review of EEG-Based Brain-Robot Interaction Systems
Brain-robot interaction (BRI) empowers individuals to control (semi-) automated machines
through their brain activity, either passively or actively. In the past decade, BRI systems have …
through their brain activity, either passively or actively. In the past decade, BRI systems have …
[PDF][PDF] Survey of Affect Representation Schemes in Physiological Automatic Affect Recognition
N Pietnoczko - 2023 - repository.tudelft.nl
Physiological signals, such as Electroencephalogram (EEG), Glavic Skin Response (GSR),
or Body Temperature, are common inputs for Automatic Affect Recognition (AAR) systems …
or Body Temperature, are common inputs for Automatic Affect Recognition (AAR) systems …