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Updated: Aug 6, 2025

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Objective Prediction of Next-Day's Affect Using Multimodal Physiological and Behavioral Data: Algorithm Development

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  • 1Donald Bren School of Information and Computer Sciences, University of California, Irvine, Irvine, CA, United States.

JMIR Formative Research
|March 15, 2023
PubMed
Summary
This summary is machine-generated.

This study shows that wearable sensors can accurately predict positive and negative affect using machine learning. Sleep and activity data are key predictors for mood forecasting.

Failed At:

2026-06-19T13:40:01.097182+00:00

Keywords:
affective computingmental healthwearable devices

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