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Author

Pan-Yu Zhang

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3 papers indexed here

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Open access Sep 2026

CrossShift: Quantifying Interpersonal Differences in Mobile Sensing for Mental Health

Mobile sensing systems for mental health leverage ubiquitous behavioral data to monitor states like stress and anxiety, enabling just-in-time interventions and context-aware care. However, the real-world scalability of these systems is severely limited by poor cross-user generalization—a challenge often attributed to i...

Pan-Yu Zhang, Minseo Park, Tomiris Ismatzoda et al. · 1 citation
Sep 2026

A Multimodal Sensor Fusion Approach for Mental Health Detection Using Mobile, Wearable, and IoT Sensors.

Depression and anxiety are among the most prevalent mental health disorders, yet many cases remain undetected due to the lack of continuous and context-aware monitoring in everyday life. Prior work has demonstrated the potential of mobile and wearable devices for passive mental health sensing; however, their inconsiste...

Youngji Koh, Gyuna Kim, Chanhee Lee et al. · 0 citations
#human-computer interacti... Preprint Sep 2026

EmoPhone: A Multi-Wave Dataset for In-the-Wild Mobile and Wearable Affect Sensing

We introduce a three-wave, in-the-wild multimodal dataset for affect sensing that integrates smartphone sensing, wearable sensing, and dense experience-sampling-method (ESM) labels collected annually from 2020 to 2022. The dataset supports moment-level affect modeling through a shared dimensional label core across all...

Pan-Yu Zhang, Minseo Park, Soowon Kang et al. · 0 citations

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