How Much Calories People Burn? Physical Activity Recognition Using Acceleration Data with Mobile Phones

Abstract

In this paper, we used ACSM Metabolic equations and physical activities recognition technology to estimate phsical activities amount and calorie consumption based on what kind of physical activity people do. Also we describe and evaluate a system that uses phone-based accelerometer and gyroscope to perform activity recognition. The physical activities we tried to detect were walking,running,bicycling,stationary,going upstairs,going downstairs while they carry their mobile phone in the front trousers pocket .These activities are the most common for the people living in cities everyday. We explore orientation-independent features extracted from several components in acceleration. Our approach achieves over 95% accuracy in 5 cross validation for six physical activity. For going upstairs and going downstairs,which is the hardest to be recognize,the accuracy is over 85%.