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Researchers in ubiquitous computing have long promised that passive sensing will revolutionize mental health measurement by detecting individuals in a population experiencing a mental health disorder or specific symptoms. Recent work suggests that ...

Early detection and treatment of Social Anxiety Disorder (SAD) is crucial. However, current diagnostic methods have several drawbacks, including being time consuming for clinical interviews, susceptible to emotional bias for self-reports, and inconclusive ...

Alzheimer's disease and related dementia has emerged as a global health challenge due to aging population. Expressed Emotion (EE) is a widely-used medical measure of family emotional environment of patients with caregivers. We present EmoMarker, a multi-...

Alzheimer's Disease (AD) and related dementia are a growing global health challenge due to the aging population. In this paper, we present ADMarker, the first end-to-end system that integrates multi-modal sensors and new federated learning algorithms for ...

Personal informatics (PI) systems, powered by smartphones and wearables, enable people to lead healthier lifestyles by providing meaningful and actionable insights that break down barriers between users and their health information. Today, such systems ...

Early treatment of depression has been proven to be very effective. However, diagnosing depression remains a challenge with current diagnostic tools. Research has begun exploring digital and mobile modalities for depression screening. In our research, ...

The age distribution has changed in Europe over the last decade. The group of 45 year-olds and above has increased and the median age in the EU is estimated to increase by 4.5 years during the next 3 decades reaching a median age of approximately 48.2 ...

Meditation, a mental and physical exercise which helps to focus attention and reduce stress has gained more popularity in recent years. However, meditation requires a concerted effort and regular practice. To explore the feasibility of using Augmented ...

In the past decade, a lot of attention has been given to the detection and classification of stress. With the advancement of technology, a lot of psychology-based experiments to detect stress have been digitized. The major problem with these experiments ...

When navigating through the day, people engage in a range of activities that each require context-specific tuning of mental and physical states for optimum performance. Typically an individual is exposed to both favorable and unfavorable environmental ...

This extended abstract describes the ongoing "Dr. Solitaire" project, which explores the possibilities of commercial off-the-shelf games to detect mild cognitive impairment by means of digital biomarkers of cognitive performance. A toolkit using computer ...

We report on an exploratory study for assessing cognitive aging based on the acquisition and modeling of player data of commercial off-the-shelf games. To this end, candidates for digital biomarkers of cognitive performance were captured via FreeCell, ...

Mobile sensing technologies and machine learning techniques have been successfully exploited to build effective systems for mental health monitoring and intervention. Various approaches have recently been proposed to effectively exploit contextual ...