The internet of things (IoT) aims to extend the internet to real-world objects, connecting smart
and sensing devices into a global network infrastructure by connecting physical and virtual …

In the last decades, given the necessity of assisting fragile citizens, of which elderly
represent a significant portion, a considerable research effort has been devoted to the use of …

Artificial intelligence and all its supporting tools, eg machine and deep learning in
computational intelligence-based systems, are rebuilding our society (economy, education …

This article introduces a new and unobtrusive wearable monitoring device based on
electrodermal activity (EDA) to be used in health-related computing systems. This paper …

This article is based on the assumption of musical power to change the listener's mood. The
paper studies the outcome of two experiments on the regulation of emotional states in a …

Recognizing the patient's emotions using deep learning techniques has attracted significant
attention recently due to technological advancements. Automatically identifying the emotions …

For emotion recognition using EEG signals, the challenge is improving accuracy. This study
proposes strategies that concentrate on incorporating emotion lateralization and ensemble …

Emotion-aware mobile applications have been increasing due to their smart features and
user acceptability. To realize such an application, an emotion recognition system should be …

Human emotions are essential to recognize the behavior and state of mind of a person.
Emotion detection through speech signals has started to receive more attention lately. This …

In this paper, we present an efficient framework to cognitively detect and track salient objects
from videos. In general, colored visible image in red-green-blue (RGB) has better …