Prolonged exposure to mental stress reduces human work efficiency in daily life and may
increase the risk of diabetes and cardiovascular diseases. However, identification of the true …

The automated detection of stress is a central problem for ambient assisted living solutions.
The paper presents the concepts and results of two studies targeted at stress detection with …

The Internet of Things (IoT) is becoming a regular part of our lives. The devices can be used
in many sectors, such as education and in the learning process. The article describes the …

Abstract Background Using Ambient Assisted Living sensors to detect acute stress could
help people mitigate the harmful effects of everyday stressful situations. This would help …

Stress is a psychological condition that reduces the quality of sleep and affects every facet of
life. This paper provides an effective method for the detection of cognitive stress levels using …

The rapid development of autonomous vehicles (AVs) has depicted a promising future of a
safer and more efficient transportation system. To better induce this revolution, massive …

Monitoring level of hypnosis is a major ongoing challenge for anesthetists to reduce
anesthetic drug consumption, avoiding intraoperative awareness and prolonged recovery …

This article presents an explainable fuzzy theoretic nonparametric deep model for an
analysis of heart rate variability in application to stress assessment. We are concerned with …

Fast and accurate identification of mental stress is critical to reducing its risk to human health
and the related consequences in industry. This study proposed a bispectrum-based feature …

Background Accurate measurement of human stress at scale is a major mHealth challenge.
Here we explore the potential for deep neural networks (DNNs) to improve remote and …