Jens Barth received his Diploma in Information and Communication Technology from the Friedrich-Alexander University (FAU) Erlangen-Nürnberg, Germany in 2010. He is currently working towards the Ph.D. degree in Computer Science at the FAU. Previously, he was a Research Staff Member at Department of Molecular Neurology, University Hospital Erlangen, FAU and at the company ASTRUM IT GmbH. His research interests include machine learning, wearable sensors, movement analysis, 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