A Framework to Evaluate Devices That Assess Physical Behavior
- 9 July 2019
- journal article
- review article
- Published by Ovid Technologies (Wolters Kluwer Health) in Exercise and Sport Sciences Reviews
- Vol. 47 (4), 206-214
- https://doi.org/10.1249/jes.0000000000000206
Abstract
Body-worn devices that estimate physical behavior have tremendous potential to address key research gaps. However, there is no consensus on how devices and processing methods should be developed and evaluated, resulting in large differences in summary estimates and confusion for end users. We propose a phase-based framework for developing and evaluating devices that emphasizes robust validation studies in naturalistic conditions.Keywords
This publication has 71 references indexed in Scilit:
- Biomechanical examination of the ‘plateau phenomenon’ in ActiGraph vertical activity countsPhysiological Measurement, 2012
- Accelerometer Use with Children, Older Adults, and Adults with Functional LimitationsMedicine & Science in Sports & Exercise, 2012
- New Horizons in Sensor DevelopmentMedicine & Science in Sports & Exercise, 2012
- Assessment of Physical Activity Using Wearable MonitorsMedicine & Science in Sports & Exercise, 2012
- Evaluation of artificial neural network algorithms for predicting METs and activity type from accelerometer data: validation on an independent sampleJournal of Applied Physiology, 2011
- Trends over 5 Decades in U.S. Occupation-Related Physical Activity and Their Associations with ObesityPLOS ONE, 2011
- A comprehensive evaluation of commonly used accelerometer energy expenditure and MET prediction equationsEuropean Journal of Applied Physiology, 2010
- Accelerometer Output and MET Values of Common Physical ActivitiesMedicine & Science in Sports & Exercise, 2010
- An artificial neural network to estimate physical activity energy expenditure and identify physical activity type from an accelerometerJournal of Applied Physiology, 2009
- Comparing the performance of three generations of ActiGraph accelerometersJournal of Applied Physiology, 2008