A Trifan, M Oliveira, JL Oliveira - JMIR mHealth and uHealth, 2019 - mhealth.jmir.org
Background: Technological advancements, together with the decrease in both price and size of a large variety of sensors, has expanded the role and capabilities of regular mobile …
Recent years have seen significant advances in the sensing capabilities of smartphones, enabling them to collect rich contextual information such as location, device usage, and …
Background The assessment of behaviors related to mental health typically relies on self- report data. Networked sensors embedded in smartphones can measure some behaviors …
Background Mobile phone sensor technology has great potential in providing behavioral markers of mental health. However, this promise has not yet been brought to fruition …
Background Electronic mental health interventions for mood disorders have increased rapidly over the past decade, most recently in the form of various systems and apps that are …
Y Fukazawa, T Ito, T Okimura, Y Yamashita… - Journal of biomedical …, 2019 - Elsevier
This study predicts the change of stress levels using real-world and online behavioral features extracted from smartphone log information. Previous studies of stress detection …
Objective: Optimal mental health care is dependent upon sensitive and early detection of mental health problems. We have introduced a state-of-the-art method for the current study …
Background There is a critical need for real-time tracking of behavioral indicators of mental disorders. Mobile sensing platforms that objectively and noninvasively collect, store, and …
M Sheikh, M Qassem, PA Kyriacou - Frontiers in digital health, 2021 - frontiersin.org
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 …