Evaluation of artificial neural network algorithms for predicting METs and activity type from accelerometer data: validation on an independent sample

Validation of Wearable Monitors for Assessing Sedentary Behavior

(2011) SARAH KOZEY-KEADLE et al.   MEDICINE AND SCIENCE IN SPORTS AND EXERCISE

A comprehensive evaluation of commonly used accelerometer energy expenditure and MET prediction equations

(2010) Kate Lyden et al.   EUROPEAN JOURNAL OF APPLIED PHYSIOLOGY

Validation of Cross-Sectional Time Series and Multivariate Adaptive Regression Splines Models for the Prediction of Energy Expenditure in Children and Adolescents Using Doubly Labeled Water

(2010) Nancy F. Butte et al.   JOURNAL OF NUTRITION

Comparison of the ActiGraph 7164 and the ActiGraph GT1M during Self-Paced Locomotion

(2010) SARAH L. KOZEY et al.   MEDICINE AND SCIENCE IN SPORTS AND EXERCISE

Accelerometer Output and MET Values of Common Physical Activities

(2010) SARAH L. KOZEY et al.   MEDICINE AND SCIENCE IN SPORTS AND EXERCISE

Evaluation of Neural Networks to Identify Types of Activity Using Accelerometers

(2010) SANNE I. DE VRIES et al.   MEDICINE AND SCIENCE IN SPORTS AND EXERCISE

An artificial neural network to estimate physical activity energy expenditure and identify physical activity type from an accelerometer

(2009) John Staudenmayer et al.   JOURNAL OF APPLIED PHYSIOLOGY

Activity identification using body-mounted sensors—a review of classification techniques

(2009) Stephen J Preece et al.   PHYSIOLOGICAL MEASUREMENT

Amount of Time Spent in Sedentary Behaviors in the United States, 2003-2004

(2008) C. E. Matthews et al.   AMERICAN JOURNAL OF EPIDEMIOLOGY

Validity of Physical Activity Intensity Predictions by ActiGraph, Actical, and RT3 Accelerometers

(2008) Megan P. Rothney et al.   Obesity