Abstract Purpose of Review Artificial intelligence (AI) is often presented as a transformative
technology for clinical medicine even though the current technology maturity of AI is low. The …

Many recent studies have addressed the detection of negative affective states such as stress
and anxiety from physiological signals taken from body-worn sensors. Typically, machine …

Meditation is a practice that aims at self-inducing a state of calmed rest. In this work, we
analyze physiological signals collected with wearable sensors to observe if meditation has a …

The rapid integration of artificial intelligence across traditional research domains has
generated an amalgamation of nomenclature. As cross-discipline teams work together on …

Acute stress in Virtual Reality (VR) requires more experimental inputs to determine how VR
affects human psychophysiology, how to alleviate stress, and whether visual fatigue can …

Work stress can have serious deleterious effects for individuals and society and therefore its
management is of great importance. Work environment has been demonstrated as one of …

The healthcare systems are facing a multitude of challenges in the modern world, including
the aging population, a shortage of medical personnel, and regional barriers such as low …

Abstract Wireless Sensor Networks (WSNs) are gaining popularity due to their low cost and
ease of maintenance and management. One of the most challenging issues in WSN is …

In this fourth industrial revolution, everyone expects their lives to become smarter and easier
with the help of rapidly growing technology. In this paper, a hybrid home automation system …

Enabling machines to learn measures of human activity from bioelectric signals has many
applications in human-machine interaction and healthcare. However, labeled activity …