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Predicting lying, sitting, walking and running using Apple Watch and Fitbit data.

Daniel FullerJavad Rahimipour AnarakiBongai SimangoMachel RaynerFaramarz DoraniArastoo BozorgiHui LuanFabien A Basset
Published in: BMJ open sport & exercise medicine (2021)
This preliminary study demonstrated that data from commercial wearable devices could predict movement types with reasonable accuracy. More research is needed, but these methods are a proof of concept for movement type classification at the population level using commercial wearable device data.
Keyphrases
  • electronic health record
  • big data
  • machine learning
  • heart rate
  • deep learning
  • blood pressure
  • artificial intelligence