Thank you for bearing with us as this page is currently under construction….
This page is dedicated to research findings in our field of industry and please note these articles are third party institution studies.
A brain-computer interface to detect responses to affective audiovisual stimuli from electroencepahlogram.
Real-time EEG-based emotion recognition and its applications.
Correlation of EEG images and speech signals for emotion analysis.
Classification of emotional states from electrocardiogram signals: A non-linear approach based on hurst.
Multimodal fusion framework: A multiresolution approach for emotion classification and recognition from physiological signals.
Core affect and the psychological construction of emotion.
Emotion recognition based on weighted fusion strategy of multichannel physiological signals.
Orienting and emotional perceptions: Facilitation, attenuation, and interference.
Looking at pictures: Affective, facial, visceral and behavioral reactions