Applying AI in the Context of the Association Between Device-Based Assessment of Physical Activity and Mental Health: Systematic Review.

Journal: JMIR mHealth and uHealth
PMID: 40053765

Abstract

BACKGROUND: Wearable technology is used by consumers worldwide for continuous activity monitoring in daily life but more recently also for classifying or predicting mental health parameters like stress or depression levels. Previous studies identified, based on traditional approaches, that physical activity is a relevant factor in the prevention or management of mental health. However, upcoming artificial intelligence methods have not yet been fully established in the research field of physical activity and mental health.

Authors

  • Simon Woll
    Mental mHealth Lab, Institute of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany.
  • Dennis Birkenmaier
    Department of Embedded Systems and Sensors Engineering, Research Center for Information Technology, Karlsruhe, Germany.
  • Gergely Biri
    Department of Embedded Systems and Sensors Engineering, Research Center for Information Technology, Karlsruhe, Germany.
  • Rebecca Nissen
    Mental mHealth Lab, Institute of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany.
  • Luisa Lutz
    Mental mHealth Lab, Institute of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany.
  • Marc Schroth
    Department of Embedded Systems and Sensors Engineering, Research Center for Information Technology, Karlsruhe, Germany.
  • Ulrich W Ebner-Priemer
    Mental mHealth Lab, Institute of Sports and Sports Science, Karlsruhe Institute of Technology, Hertzstr. 16, Building 06.31, Karlsruhe, 76187, Germany, 49 721 608 47543.
  • Marco Giurgiu
    Mental mHealth Lab, Institute of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany.

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