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Lecture Notes in Computer Science
The paper presents two prototypes for the estimation of human energy expenditure during normal daily activities and exercise. The first prototype employs two dedicated inertial sensors attached to the user's chest and thigh and a heart rate monitor. The second prototype uses only the accelerometer embedded in a smart phone carried in the user's pocket. Both systems use machine learning for the energy expenditure estimation. The focus of the demo is the convenience of using a smart phonedoi:10.1007/978-3-319-03647-2_25 fatcat:n62ayiujjjfltphcgcijnlpb3u