Mood, Stress and Sleep Sensing with Wearable Sensors and Mobile Phone

Citation:

Sano A, Taylor S, Jaques N, Chen W, Lopez-Martinez D, Nosakhare E, Rudovic O, Umematsu T, Picard R. Mood, Stress and Sleep Sensing with Wearable Sensors and Mobile Phone, in International Engineering in Medicine and Biology Conference (EMBC). Hawaii ; 2018.

Abstract:

This paper highlights lessons learned from a four-year ambulatory study, developed to measure Sleep, Networks, Affect, Performance, Stress, and Health using Objective Techniques (SNAPSHOT), which was run in seven cohorts of college students (N=321), collecting continuous wearable and mobile phone data, typically for a month each. This paper overviews the objectives of this study, challenges faced, and some key findings focused on detecting sleep patterns and detecting and forecasting mood changes.