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Health, Healthcare, and Wellbeing / Passive Sensing, Behavior Modeling, and Mental State Prediction

Mental health professionals struggle to comprehensively predict mental illness relapse or peaks in national suicide rates.

lightbulbPractical problemPassive Sensing, Behavior Modeling, and Mental State Prediction

Mental health professionals struggle to comprehensively predict mental illness relapse or peaks in national suicide rates.

IUI '22Employing Social Media to Improve Mental Health: Pitfalls, Lessons Learned, and the Next Frontier

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Depression in perimenopausal women is often overlooked, leading to insufficient diagnosis and treatment.

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Users struggle to plan long-term based on existing short-term mental health prediction tools.

UbiComp '24A Long-Term Perspective on Planning the Future: The Effectiveness of Weekly Mental Health Prediction

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Missing behavioral data reduces accuracy in depression prediction.

UbiComp '24Imputation Strategies for Longitudinal Behavioral Studies: Predicting Depression Using GLOBEM Datasets

lightbulbPractical problemPassive Sensing, Behavior Modeling, and Mental State Prediction

Depression diagnosis relies on subjective methods with high error rates and bias.

CHI '24MoodCapture: Depression Detection using In-the-Wild Smartphone Images

lightbulbPractical problemPassive Sensing, Behavior Modeling, and Mental State Prediction

Depression detection models generalize poorly across datasets, limiting their practical utility.

UbiComp '23GLOBEM: Cross-Dataset Generalization of Longitudinal Human Behavior Modeling

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Mental health management for nursing home residents is insufficient, and emotional fluctuations go unnoticed.

UbiComp '23Predicting and Analyzing Emotion of Elderly People in Care Facilities

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MoodCapture: Depression Detection using In-the-Wild Smartphone Images

Subigya Nepal, Arvind Pillai, Weichen Wang

GLOBEM: Cross-Dataset Generalization of Longitudinal Human Behavior Modeling

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Smartphone-derived Virtual Keyboard Dynamics Coupled with Accelerometer Data as a Window into Understanding Brain Health

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EmoGlass: an End-to-End AI-Enabled Wearable Platform for Enhancing Self-Awareness of Emotional Health

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Semantic Gap in Predicting Mental Wellbeing through Passive Sensing

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