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Measuring Risky Driving Behavior Using an mHealth Smartphone App: Development and Evaluation of gForce.

Raisa Z FreidlinAmisha D DaveBenjamin G EspeySean T StanleyMarcial A GarmendiaRandall PursleyJohnathon P EhsaniBruce G Simons-MortonThomas J Pohida
Published in: JMIR mHealth and uHealth (2018)
The gForce iPhone app reliably assessed elevated g-force events compared to the DAS. Collectively, the gForce app and iPhone platform have the potential to serve as feature-rich, inexpensive, scalable, and open-source tool for assessment of kinematic risky driving events, with potential for research and feedback forms of intervention.
Keyphrases
  • randomized controlled trial
  • machine learning
  • human health
  • high throughput
  • deep learning
  • disease activity
  • rheumatoid arthritis
  • climate change