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

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

(A) REM and light sleep durations; (B) heart rate and heart rate variability collected by ring; (C) atmospheric pressure (altitude) and step counts collected by smart watch; and (D) location change and commute events detected by the Personicle app on the phone. REM: rapid eye movement. Smoothed distribution of (A) negative affect (NA) and (B) averaged positive affect (PA) of 7 selected participants. NAs tend to have a narrower distribution compared to PAs.

Salar Jafarlou, Jocelyn Lai, Iman Azimi, Zahra Mousavi, Sina Labbaf, Ramesh C Jain, Nikil Dutt, Jessica L Borelli, Amir Rahmani

JMIR Form Res 2023;7:e39425