Combinations

Choi, 2010- five prediction models for energy expenditure in adolescents using ActiGraph counts from the hip, wrist, or ankle

Chuang, 2013- single regression, activity-specific regression, and a mono-exponential equation to predict energy expenditure in adults wearing accelerometers on the wrist and ankle

Ellingson, 2016- modified Sojourn to predict energy expenditure of adults from hip-worn ActiGraph counts and thigh-worn ActivPal activity classification data

Jang, 2006- combination of 7 accelerometers (15 total axes) is used to predict energy expenditure in adults using a simple calculation converting acceleration into velocity and work

Kim, 2008- three linear regression models to predict energy expenditure in adults using waist, ankle, and wrist accelerometers

Mackintosh, 2016- thirteen machine learning models to predict energy expenditure in children using count data from ActiGraphs on chest, both hips, wrists, ankles, and knees

Montoye, 2019- six machine learning models using either count or raw data from ActiGraphs on right hip or left wrist to predict energy expenditure of children

Nguyen, 2013- data from three monitors - a Lifecorder accelerometer at the waist, Step Watch 3 at the ankle, and a GPS unit - are combined to predict energy expenditure in adults

Zakeri, 2012- Cross-sectional time series and multivariate adaptive regression splines for ActiHeart, ActiGraph, or ActiGraph plus heart rate inputs, resulting in six total models for predicting total energy expenditure in preschool-aged children