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Assessing the Accuracy of Activity Classification Using Thigh-Worn Accelerometry: A Validation Study of ActiPASS in School-Aged Children.

Claas LendtPasan HettiarachchiPeter J JohanssonScott DuncanCharlotte Lund RasmussenAnantha NarayananTom Stewart
Published in: Journal of physical activity & health (2024)
The results indicate that ActiPASS can accurately classify different basic types of physical activity and sedentary behavior in children using thigh-worn accelerometer data.
Keyphrases
  • physical activity
  • young adults
  • machine learning
  • deep learning
  • body mass index
  • big data
  • sleep quality
  • depressive symptoms