In order to propose an effective emotion recognition system, this paper proposed a novel
Haar wavelet transform based emotion recognition system. This system is based on facial …

The automatic identification of emotions from speech holds significance in facilitating
interactions between humans and machines. To improve the recognition accuracy of speech …

Artificial speech analysis can be used to detect non-verbal communication cues and reveal
the current emotional state of the person. The inability of appropriate recognition of emotions …

EEG analysis is a responsible device in assessing the neurophysiological disorders
associated to the postsynaptic movement happened in the neocortex. In detecting the …

This work focuses on recognizing the unknown emotion based on the “Third-Order Circular
Suprasegmental Hidden Markov Model (CSPHMM3)” as a classifier. Our work has been …

Current research in human–computer interaction reveals the importance of taking into
account emotional aspects in the interaction with computer systems. The main objective of …

Abstract This study presents Biogeography Particle Swarm Optimization with Neural
Network, which is based on Content-Based Image Retrieval and is used to solve face …

The portfolio optimization problem is the central problem of modern economics and decision
theory; there is the Mean-Variance Model and Stochastic Dominance Model for solving this …

In order to solve the problem that the emotion feature dimension is too high in speech
emotion recognition, an optimization method based on BBO-SVM for invariant set of …

The better and effective human–machine communication is ensured by performing affective
computing. In the recent years, healthy research has been progressing in recognizing …