Emotion recognition is the ability to precisely infer human emotions from numerous sources
and modalities using questionnaires, physical signals, and physiological signals. Recently …

An automatic emotion recognition system can serve as a fundamental framework for various
applications in daily life from monitoring emotional well-being to improving the quality of life …

Biometric technologies are becoming more pervasive in the workplace, augmenting
managerial processes such as hiring, monitoring and terminating employees. Until recently …

Abstract Background and Objective: Researchers use wearable sensing data and machine
learning (ML) models to predict various health and behavioral outcomes. However, sensor …

The field of artificial intelligence (AI) has gained immense traction over the past decade,
producing increasingly successful applications as research strives to understand and exploit …

Sensing technologies deployed in the workplace can unobtrusively collect detailed data
about individual activities and group interactions that are otherwise difficult to capture. A …

Background: Wearable sensors are increasingly being explored in health care, including in
cancer care, for their potential in continuously monitoring patients. Despite their growing …

Numerous vital signs are reported in association with stress response assessment, but their
application varies widely. This work provides an overview over methods for stress induction …

Over the past decade, there has been a significant development in wearable health
technologies for diagnosis and monitoring, including application to stress monitoring. Most …

To address the limitations of databases in the field of emotion recognition and to cater to the
trend of integrating data from multiple sources, we have established a multi-modal emotional …