Thomas Kautz

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.

Associated articles

JBHI, Featured Articles
Mobile Stride Length Estimation with Deep Convolutional Neural Networks
        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