Speech signal processing is an active area of research, the most dominant source of
exchanging information among human beings, and the best way for human–computer …

Brain computer interface (BCI) systems can decode brain affective activities into
interpretable features and facilitate emotional human–computer interaction. However …

Feature selection plays an important role to build a successful speech emotion recognition
system. In this paper, a feature selection approach which modifies the initial population …

In order to obtain a Biogeography-Based Optimization (BBO) algorithm with strong universal
applicability, this paper presents a novel hybrid algorithm based on BBO and Grey Wolf …

Affective computing is one of the most important research fields in modern human–computer
interaction (HCI). The goal of affective computing is to study and develop the theories …

In this research, we undertake intelligent skin cancer diagnosis based on dermoscopic
images using a variant of the Particle Swarm Optimization (PSO) algorithm for feature …

Speech Emotion Recognition (SER) is a hot topic in academia and industry. Feature
engineering plays a pivotal role in building an efficient SER. Although researchers have …

Speech emotion recognition (SER) as a Machine Learning (ML) problem continues to
garner a significant amount of research interest, especially in the affective computing …

Human facial expressions change with different states of health; therefore, a facial-
expression recognition system can be beneficial to a healthcare framework. In this paper, a …

This paper investigates the use of an electroencephalogram (EEG) signal to classify a
subject's stress level while using virtual reality (VR). For this purpose, we designed an …