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.

GJ Chu, TJ Kho, NJW Lim, AK Keng, CZ Yang. IRC Conference on Science, Engineering & Technology, 2017 Aug 10; S6-2.




Real-time EEG-based emotion recognition and its applications.

Y Liu, O Sourina, MK Nguyen. In: ML Gavrilova, CJK Tan, A Sourin, O Sourina (eds) Transactions on Computational Science XII. Lecture Notes in Computer Science, vol 6670. Springer, Berlin, Heidelberg.


Correlation of EEG images and speech signals for emotion analysis.

P Abhang, BW Gawali. Brit J Appl Sci & Technol, 2015; 10(5): 1-13.


Classification of emotional states from electrocardiogram signals: A non-linear approach based on hurst.

J Selvaraj, M Murugappan, K Wan, S Yaacob. Biomed Eng Online, 2013 May 16; 12:44.




Multimodal fusion framework: A multiresolution approach for emotion classification and recognition from physiological signals.

GK Verma, US Tiwary. Neuroimage, 2014 Nov 15; 102 Pt 1:162-72.


Core affect and the psychological construction of emotion.

JA Russell. Psychol Rev, 2003 Jan; 110(1):145-72.


Emotion recognition based on weighted fusion strategy of multichannel physiological signals.

W Wei, Q Jia, Y Feng, G Chen. Comput Intell Neurosci, 2018 Jul 5; 2018:5296523.


Orienting and emotional perceptions: Facilitation, attenuation, and interference.

MM Bradley, A Keil, PJ Lang. Front Psychol, 2012 Nov 16; 3:493.


Looking at pictures: Affective, facial, visceral and behavioral reactions

PJ Lang, MK Greenwald, MM Bradley, AO Hamm. Psychophysiology, 1993 May; 30(3):261-73.