Prof. Dr. Björn Eskofier

Machine Learning and Data Analytics Lab Lehrstuhl für Informatik 14 (Machine Learning and Data Analytics)

Activity recognition in beach volleyball using a Deep Convolutional Neural Network (2017) Kautz T, Groh B, Hannink J, Jensen U, Strubberg H, Eskofier B Journal article, Original article Generic performance measure for multiclass-classifiers (2017) Kautz T, Eskofier B, Pasluosta CF Journal article, Original article Reference-Free Adjustment of Respiratory Inductance Plethysmography for Measurements during Physical Exercise (2017) Leutheuser H, Heyde C, Röcker K, Gollhofer A, Eskofier B Journal article, Original article „Natural Running“: Biomechanischer Vergleich von Vorfuß- oder Rückfußlauf (2017) Gelse K, Knorz S, Kluge F, Hotfiel T, Eskofier B, Krinner S Conference contribution, Conference Contribution Speed dependent effects of laterally wedged insoles on gait biomechanics in healthy subjects (2017) Kluge F, Krinner S, Lochmann M, Eskofier B Journal article, Original article Letter to the Editor regarding “Gait recording with inertial sensors – How to determine initial and terminal contact” (2017) Kluge F, Eskofier B Journal article, Letter An Overview of Smart Shoes in the Internet of Health Things: Gait and Mobility Assessment in Health Promotion and Disease Monitoring (2017) Eskofier B, Lee SI, Manuela B, Simon A, Martindale C, Gaßner H, Klucken J Journal article, Review article Quantifying postural instability in Parkinsonian gait from inertial sensor data during standardised clinical gait tests (2017) Hannink J, Kluge F, Gaßner H, Klucken J, Eskofier B Book chapter / Article in edited volumes Salivary Markers for Quantitative Dehydration Estimation During Physical Exercise (2017) Ring M, Lohmueller C, Rauh M, Mester J, Eskofier B Journal article Automated Ski Velocity and Jump Length Determination in Ski Jumping Based on Unobtrusive and Wearable Sensors (2017) Groh B, Warschun F, Deininger M, Kautz T, Martindale C, Eskofier B Journal article, Original article