Emotion detection using electroencephalography signals and a zero-time windowing-based epoch estimation and relevant electrode identification

Emotion detection using electroencephalography signals and a zero-time windowing-based epoch estimation and relevant electrode identification

Recognizing emotions using biological brain signals requires accurate and efficient signal processing and feature extraction methods. Existing methods use several techniques to extract useful features from a fixed number of electroencephalography (EEG) channels. The primary objective of this study was to improve the performance of emotion recognition using brain signals by applying a novel and adaptive channel selection method that acknowledges …

A group of researchers at the University of Pennsylvania has created an electroencephalogram electrode (EEG) that looks like hair, behaves like a hair... but behaves like a kind of "spy" of brain activity. It is one of those cases in which miniaturization is extreme: instead of typical wires, sticky gels and "medical hairdressing" sessions, this new invention is the size of a hair, adheres directly to the scalp and can monitor brain activity for…

AI And Brain Activity Shed Light On Racial Face Recognition Bias

Researchers at the University of Toronto Scarborough have combined artificial intelligence (AI) and electroencephalography (EEG) to reveal that visual distortions in perceiving faces from other racial groups are more deeply ingrained in the brain than previously understood, with potential implications for improving facial recognition technology and diagnosing mental health disorders.