ISSN: 2469-9837
+44 1478 350008
Department of Psychology, University of Nicosia, Nicosia, Cyprus
Research Article
Emo-Gem: An Impacted Affective Emotional Psychology Analysis through Gaussian Model using Amigos
Author(s): Martin Costeris*
Analysis of human affect (feelings) that directly release on human emotions is mandatory to rival many psychological impacts. Human emotions are more precious and real. The history of Effect Theory implies on the idea of detecting the feelings and emotions seem needful to predict behaviour. The proposed research work is based on predicting the real emotion using a robust model with neurophysiological data. Any change in the emotional affect directly triggers the physiological signals. The presented system utilizes the concept of Gaussian mixture models to create a novel prediction algorithm named the Gaussian Expectation Maximization technique (GEM) using the amigos dataset. The dataset considered physiological signals such as Electrocardiography (ECG), Electroencephalography (EEG), Galvanic Skin Response (GSR). The statistical response after the processing of the data, measurable res.. View More»
DOI:
10.35248/2469-9837.22.9.240