A novel method for using accelerometer data to predict energy expenditure.

By S. Crouter, K. Clowers, David Bassett. Journal of applied physiology, 2006

485 citations recorded by the source corpus.

Subfields: Complementary and alternative medicine, Physiology, Public Health, Environmental and Occupational Health

View Paper: https://www.semanticscholar.org/paper/5253a704802b6972f01bbda291605f536d7e5b28

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Citations in the corpus

Sensor Positioning for Activity Recognition Using Wearable Accelerometers (2011, background): “In recent years, wearable accelerometers have played an important role in inferring metabolic energy expenditure [7]–[9], measuring gait parameters [10], predicting falls [11], and detecting activities of daily living [12]–[14].”
Jointly Learning Energy Expenditures and Activities Using Egocentric Multimodal Signals (2017, background): “, multiple accelerometers [40, 45, 11], heart rate [10], indirect estimation from heart rate and oxygen uptake relationships [34], and heart rate in combination with accelerations [16].”
An artificial neural network to estimate physical activity energy expenditure and identify physical activity type from an accelerometer. (2009, methodology): “The relationship between the monitor output and energy expenditure is modeled using linear regression techniques to develop a formula either to estimate energy expended in PA (PAEE) or to establish a set of “cut-points” used to determine time spent in different intensity ranges (6, 7, 9, 10, 12, 20,”
Assessment of physical activity in youth. (2008, methodology): “Alternative analytical strategies have also been developed for instantaneous PAEE prediction; these include decision trees and artificial neural networks (22, 26, 74, 89, 124, 125) and addition of physiological parameters (12, 24, 41, 42, 50, 54, 123).”
BEST PRACTICES FOR USING PHYSICAL ACTIVITY MONITORS IN POPULATION-BASED RESEARCH (2012, unknown): “, 1- to 10-s epochs) to select appropriate prediction equations (8), classify types of behavior (6,30), or derive expenditure (26)”
Accelerometry: a technique for quantifying movement patterns during walking. (2008, methodology): “Monitors such as the Intelligent Device for Energy Expenditure, ActiGraph, and the TriTrac-R3D, calibrate raw output from accelerometers attached to the body (often referred to as accelerometer ‘counts’) to some meaningful indicator of physical activity or energy [4–6].”