Accepted for/Published in: JMIR mHealth and uHealth
Date Submitted: Sep 27, 2018
Open Peer Review Period: Oct 1, 2018 - Nov 26, 2018
Date Accepted: Jul 19, 2019
(closed for review but you can still tweet)
Predicting energy expenditure during gradient walking with a foot monitoring device: A model-based approach
ABSTRACT
Background:
Many recent commercial devices aim at providing a practical way to measure energy expenditure. However, those devices are yet limited in accuracy.
Objective:
This study aimed to build a model of energy consumption during walking applicable to a range of sloped surfaces, used in conjunction with a simple, wearable device.
Methods:
A model of energy consumption during gradient walking was constructed by using arguments based in mechanics. A foot monitoring system that utilizes pressure sensors on the foot insoles was built. Experiments were done in which subjects walk on a treadmill wearing the foot monitoring system, and indirect calorimetry was used for validation. The parameters of the model were found by fitting to the data.
Results:
When walking at 1.5 m/s, we found that the model predicts a calorie consumption rate of 5.54 kcal/min for a woman with average height and weight, and 6.89 kcal/min for an average man. With the obtained parameters, the model predicted the data with a root mean square deviation of 0.96 kcal/min, i.e., median percent error of 12.4%.
Conclusions:
Our model was found to be an accurate predictor of energy consumption when walking in a range of slopes. The model uses few variables and is thus can be used in conjunction with a convenient wearable device.
Citation
Per the author's request the PDF is not available.
Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.