An Energy-Saving Algorithm for Energy Expenditure Estimation with a Smartphone Sensor Based Approach: a Contribution to the Mobility Measurement in e-Health (original) (raw)

This paper introduces a predictive function for total energy expenditure (TEE) estimation of the current life using the embedded smartphone accelerometer sensor. Our research encompasses definition of an energy-saving function without any hypothesis on its initial relative position. Six 25-year-old highly graduate participants wore a smartphone in a front pants pocket and a valid Armband device for a day of a desk job. The performance of the proposed function is estimated by using our smartphone application and evaluated by comparing TEE given by the function with TEE of Armband device. The mean gap of TEE between our function and Armband was less than 15%. This work is a preliminary step forward definition of a new predictive function well tuned for representative French population. Our work is now directed on validation on a larger population sample.