Bjoern M. Eskofier

Bjoern M. Eskofier (SM’16) received the Graduate degree in electrical engineering from the Friedrich-Alexander University (FAU) Erlangen-Nürnberg, Erlangen, Germany, in 2006, and the Ph.D. degree in biomechanics from the University of Calgary, Calgary, Canada, in 2010. Since February 2011, he has been the Assistant Professor of Computer Science in Sports (endowed professorship of the Adidas AG) and the Head of the Digital Sports Group, Pattern Recognition Laboratory, FAU. His current research interests include machine learning and signal analysis for wearable computing systems in health care and sports. He has authored or coauthored more than 100 peer-reviewed articles and submitted five patent applications.

Associated articles

JBHI, Featured Articles
An Emerging Era in the Management of Parkinson’s Disease: Wearable Technologies and the Internet of Things
This review highlights the technological aspects of an emerging healthcare platform designed to cope with the increasing global prevalence of chronic neurological disorders associated with the elderly. Wearable technologies connected through the Internet of Things (IoT) platform are revolutionizing patient... Read more
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