Julius Hannink

Julius Hannink received his B.Sc. and M.Sc. degrees in physics in 2011 and 2014 from the University of Göttingen, Germany. Currently he is a Ph.D. candidate at the Digital Sports Group, Pattern Recognition Laboratory, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany. His work focusses on individualized, sensor-based therapy monitoring and mobility impairment analysis in neurodegenerative diseases. His research interests include wearable computing, biomedical signal analysis and machine learning for healthcare applications.

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