Abstract Human Activity Recognition (HAR) is an essential task in various applications such
as pervasive healthcare, smart environment, and security and surveillance. The need to …

Wearable devices, or wearables, designed to be attached to the human body, can gather
personalized real-time data and continuously monitor an individual's health status and …

This narrative review explores the transformative impact of Artificial Intelligence (AI) on
mental health nursing, particularly in enhancing psychiatric patient care. AI technologies …

Wearable devices use sensors to evaluate physiological parameters, such as the heart rate,
pulse rate, number of steps taken, body fat and diet. The continuous monitoring of …

Integrating Artificial Intelligence (AI) into mobile and wearables offers numerous benefits at
individual, societal, and environmental levels. Yet, it also spotlights concerns over emerging …

Significant progress has been made in augmenting clinical decision-making using artificial
intelligence (AI) in the context of secondary and tertiary care at large academic medical …

Mobile sensing systems have been widely used as a practical approach to collect
behavioral and health-related information from individuals and to provide timely intervention …

Background: The concept of addiction in relation to cellphone and smartphone use is not
new, with several researchers already having explored this phenomenon. Artificial …

Abstract Human Activity Recognition (HAR) makes it possible to drive applications directly
from embedded and wearable sensors. Machine learning, and especially deep learning …

Deep learning is nowadays considered state-of-the-art technology in many applications
thanks to huge performance capabilities. However, the accuracy levels that can be obtained …