TY  - JOUR
AU  - Kim, Soon Ho
AU  - Kim, Jong Won
AU  - Park, Jung-Jun
AU  - Shin, Myung Jun
AU  - Choi, MooYoung
PY  - 2019
DA  - 2019/10/23
TI  - Predicting Energy Expenditure During Gradient Walking With a Foot Monitoring Device: Model-Based Approach
JO  - JMIR Mhealth Uhealth
SP  - e12335
VL  - 7
IS  - 10
KW  - energy expenditure
KW  - physical activity
KW  - human walking
KW  - wearable devices
KW  - mHealth
AB  - Background: Many recent commercial devices aim at providing a practical way to measure energy expenditure. However, those devices are 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: We constructed a model of energy consumption during gradient walking by using arguments based in mechanics. We built a foot monitoring system that used pressure sensors on the foot insoles. We did experiments in which participants walked on a treadmill wearing the foot monitoring system, and indirect calorimetry was used for validation. We found the parameters of the model by fitting to the data. Results: When walking at 1.5 m/s, we found that the model predicted 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 and median percent error of 12.4%. Conclusions: Our model was found to be an accurate predictor of energy consumption when walking on a range of slopes. The model uses few variables; thus, it can be used in conjunction with a convenient wearable device. 
SN  - 2291-5222
UR  - https://mhealth.jmir.org/2019/10/e12335
UR  - https://doi.org/10.2196/12335
UR  - http://www.ncbi.nlm.nih.gov/pubmed/31647467
DO  - 10.2196/12335
ID  - info:doi/10.2196/12335
ER  -