WellBeat

A Framework for Tracking Daily Well-being Using Smartwatches

Journal article (2020)

Authors

Sungkyu Park Korea Advanced Institute of Science and Technology
Marios Constantinides Nokia Bell Labs
Luca Maria Aiello Nokia Bell Labs
Daniele Quercia Nokia Bell Labs
P. van Gent Transport and Planning - CEG
Research Group
Transport and Planning (CEG) (TU Delft)
Sensors Internet Heart rate variability Pipelines Biomedical monitoring O.1 Affect sensing and analysis O.2 Modeling human emotion O.6.1 Methods of data collection
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Published Date

2020

Language

English

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Faculty

Civil Engineering & Geosciences

Department

Transport and Planning

Research Group

Transport and Planning

Abstract

Human physiology is a window to our physical, mental, and emotional states; our well-being. Today, a new wave of objective data derived from consumer grade body sensors-like those equipped by smartwatches-paves the way toward a new approach in how well-being is being measured, continuously and unobtrusively. Here, we developed a framework for collecting and analyzing physiological data using smartwatches in-the-wild, and demonstrated its robustness in data obtained away from controlled laboratory settings. We found that changes in people's heart rate and heart rate variability are predictive not of momentary well-being (a scientific idea that continues to live on in the absence of in-the-wild evidence, aka, zombie theory) but of daily well-being.