A Pande, Y Zeng, A Das, P Mohapatra, S Miyamoto, E Seto, E.K. Henricson, and J.J. Han (2013)
Accurate Energy Expenditure Estimation Using Smartphone Sensors
In: ACM Wireless Health 2013, pp. −.
Accurate and online EEE utilizing small wearable sensors is a difficult task with most existing schemes working offline or using heuristics. In this work, we focus on accurate EEE for tracking ambulatory activities of a common smartphone user. We used existing smartphone sensors (accelerometer and barometer sensor), sampled at low frequency and Artificial Neural Networks, a machine learning technique to build a generic regression model for EEE that yields upto 89% correlation with actual Energy Expenditure (EE). We compare our results against state-of-the-art Calorimetry Equations (CE) and consumer electronics devices (Fitbit and Nike+ Fuel Band).