WellBeat: A Framework for Tracking Daily Well-being Using Smartwatches

Sungkyu Park, Marios Constantinides, Luca Maria Aiello, Daniele Quercia, Paul Van Gent

Research output: Contribution to journalArticleScientificpeer-review

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.

Original languageEnglish
Article number9171435
Pages (from-to)10-17
Number of pages8
JournalIEEE Internet Computing
Volume24
Issue number5
DOIs
Publication statusPublished - 2020

Keywords

  • Biomedical monitoring
  • Heart rate variability
  • Internet
  • O.1 Affect sensing and analysis
  • O.2 Modeling human emotion
  • O.6.1 Methods of data collection
  • Pipelines
  • Sensors

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