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A Novel Algorithm for Determining the Contextual Characteristics of Movement Behaviors by Combining Accelerometer Features and Wireless Beacons: Development and Implementation.

Magistro DanieleSalvatore SessaAndrew P KingsnorthAdam LovedayAlessandro SimeoneMassimiliano ZeccaDale W Esliger
Published in: JMIR mHealth and uHealth (2018)
This study shows that our algorithm can accurately predict the location of an individual within an indoor environment. This novel implementation of "context sensing" will facilitate a wealth of new research questions on promoting healthy behavior change, the optimization of patient care, and efficient health care planning (eg, patient-clinician flow, patient-clinician interaction).
Keyphrases
  • healthcare
  • primary care
  • case report
  • machine learning
  • deep learning
  • quality improvement
  • physical activity
  • air pollution
  • neural network
  • risk assessment
  • heavy metals
  • low cost