AMIGOS: a robust emotion detection framework through Gaussian ResiNet

Abstract

Affective computing is the study of the deep extraction of emotional impacts that triggers humans for various reasons. Emotions directly reflect on human behaviour. The proposed analysis is inclined towards deep emotion extraction through a novel concept with less computation time. Designing a robust analysis model is focused on here. AMIGOS dataset on affect, and personality modelling is considered here. A Novel Gaussian ResiNet (GRN) algorithm is evaluated here. Any changes in the emotions of humans are the brainy response given to the actions faced. The features of the given physiological factors are considered for analysis, further with GMM-ResiNet (GRN) a low computational structure is used for classification. The Novel Gaussian ResiNet (GRN) is created from the given dataset for similar feature validations. The system predicts the correlated relative data from the training set and testing set and achieved the performance metrics using error rate (ER), Algorithm Computation Time (ACT), Full Computation Time (FCT), Accuracy (AUC) etc. Novel Gaussian ResiNet (GRN) is created and tested with processed data of the AMIGOS dataset. The model created is validated with state-of-art approaches and achieved an accuracy of 92.6%.

Electroencephalogram based human emotion classification for valence and arousal using machine learning approach

“…But there is a profound question regarding the selection of features and methods in human emotion classification, as the performance of the model is highly based upon these parameters. Emotions can be recognized through speech [1], [2], facial expressions [3] [6], textual data [7], [8], body gestures, audio-visual features [9], human interaction with devices and physiological signals such as electroencephalogram (EEG), electrocardiogram [10], electromyogram, electrodermal activity, skin temperature, and respiration. Over the years, EEG has gained a lot of attraction as a powerful technique for exploring the study of emotions due to its inexpensiveness and portable nature.…”