Background Anxiety and depression are the most common mental disorders worldwide.
Owing to the lack of psychiatrists around the world, the incorporation of artificial intelligence …

Collecting and analyzing data from sensors embedded in the context of daily life has been
widely employed for the monitoring of mental health. Variations in parameters such as …

Given the limitations of traditional approaches, wearable artificial intelligence (AI) is one of
the technologies that have been exploited to detect or predict depression. The current …

Background Anxiety disorders rank among the most prevalent mental disorders worldwide.
Anxiety symptoms are typically evaluated using self-assessment surveys or interview-based …

This article presents a systematic review of the literature concerning scientific publications
on wrist wearables that can help to identify stress levels. The study is part of a research …

The present study investigates the success factors (SFs) for implementing wearable sensing
devices (WSDs) for safety and health monitoring within the construction industry. A …

A neural network that matches with a complex data function is likely to boost the
classification performance as it is able to learn the useful aspect of the highly varying data. In …

Discernible patterns of a person's daily activities can be utilized to detect behavioral
symptomatology of mental illness at early stages. Wearable Internet of Medical Things …

Wearable devices such as smartwatches, wristbands, GPS shoes are increasingly used for
fitness and wellness as they allow users to monitor their daily health. These devices have …

Wearable devices equipped with sensors popularly used for health monitoring are capable
of accumulating motion data providing objective measures of various physical activity and …