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Classifiers for Accelerometer-Measured Behaviors in Older Women
Medicine & Science in Sports & Exercise (2016)
  • D Rosenberg
  • S Godbole
  • K Ellis
  • CZ Di
  • A Z LaCroix
  • L. Natarajan
  • J Kerr
Abstract
Machine learning methods could better improve detection of specific types of physical activities and sedentary behaviors from accelerometer data. No studies in older populations have developed and tested algorithms for walking and sedentary time in free-living daily life. Our goal was to rectify this gap by leveraging access to data from two studies in older women.
Disciplines
Publication Date
Winter 2016
Citation Information
D Rosenberg, S Godbole, K Ellis, CZ Di, et al.. "Classifiers for Accelerometer-Measured Behaviors in Older Women" Medicine & Science in Sports & Exercise (2016)
Available at: http://works.bepress.com/di/29/