Thomas Kautz received the B.Sc. (2012) and M.Sc. (2013) degrees in Electrical Engineering and Information Technology from the Ilmenau University of Technology, Germany. He is currently pursuing the Ph.D. degree at the Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany. His research interests include pattern recognition, probabilistic filtering and biomedical signal processing.
JBHI, Featured ArticlesMobile Stride Length Estimation with Deep Convolutional Neural Networks
Julius Hannink, Thomas Kautz, Cristian F. Pasluosta, Jens Barth, Samuel Schülein, Karl-Günter Gaßmann, Jochen Klucken, Bjoern M. Eskofier
Accurate estimation of spatial gait characteristics is critical to assess motor impairments resulting from neurological or musculoskeletal disease. Currently, however, methodological constraints limit clinical applicability of state-of-the-art double integration approaches to gait patterns with a clear zero-velocity phase. We describe... Read more
Posted on 28 FEB 2018