Oliver Amft received the M.Sc. degree from the Chemnitz University of Technology, Chemnitz, Germany, in 1999, and the Ph.D. degree from ETH Zurich, Zurich, Switzerland, in 2008, both in electrical engineering and information technology. He is a Full Professor (W3) and Chair of Sensor Technology at University of Passau, Passau, Germany. He is also with the Wearable Computing Lab, ETH Zurich and the Signal Processing Systems section at TU Eindhoven, Eindhoven, Netherlands. His research interests include multimodal activity recognition and human behavior inference algorithms and has coauthored more than 90 publications in this field.
JBHI, Featured ArticlesPersonalization of Energy Expenditure Estimation in Free Living Using Topic Models
We introduce an approach to personalize energy expenditure (EE) estimates in free living. First we use Topic Models (TM) to discover activity composites from recognized activity primitives and stay regions in daily living data. Subsequently, we determine activity composites that... Read more
Posted on 31 AUG 2015
JBHI, Featured ArticlesEstimating Energy Expenditure Using Body-Worn Accelerometers: a Comparison of Methods, Sensors Number and Positioning
M. Altini, J. Penders, R. Vullers and O. Amft Several methods to estimate Energy Expenditure (EE) using body-worn sensors exist, however quantifications of the differences in estimation error are missing. In this paper, we compare three prevalent EE estimation methods and... Read more
Posted on 16 DEC 2014