Prof. Dr. Björn Eskofier

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

From the Laboratory to the Field: IMU-Based Shot and Pass Detection in Football Training and Game Scenarios Using Deep Learning (2021) Stöve M, Schuldhaus D, Gamp A, Zwick C, Eskofier B Journal article The impact of avatar appearance, perspective and context on gait variability and user experience in virtual reality (2021) Wirth M, Gradl S, Prosinger G, Kluge F, Roth D, Eskofier B Conference contribution Combination of defined catwalk gait parameters for predictive locomotion recovery in experimental spinal cord injury rat models (2021) Timotius I, Bieler L, Couillard-Despres S, Sandner B, Garcia-Ovejero D, Labombarda F, Estrada V, et al. Journal article DeepSigns: A predictive model based on Deep Learning for the early detection of patient health deterioration (2021) da Silva DB, Schmidt D, da Costa CA, da Rosa Righi R, Eskofier B Journal article Online at Will: A Novel Protocol for Mutual Authentication in Peer-to-Peer Networks for Patient-Centered Health Care Information Systems (2021) Abdullahi I, Dehling T, Kluge F, Eskofier B, Sunyaev A Conference contribution, Original article Machine Learning from Biomechanical SimulaIons for an "in the Wild" Movement Analysis (2021) Dorschky E, Nitschke M, van den Bogert AJ, Koelewijn A, Eskofier B Conference contribution, Abstract of lecture Identification of individuals through a new Gait Recognition Method (2021) Dib W, Ghanem K, Nedil M, Ababou A, Eskofier B Conference contribution Hess Screen Revised: How Eye Tracking and Virtual Reality change Strabismus Assessment (2021) Mehringer W, Wirth M, Risch F, Roth D, Michelson G, Michelson G, Eskofier B Conference contribution, Conference Contribution System Design for a Data-Driven and Explainable Customer Sentiment Monitor Using IoT and Enterprise Data (2021) Nguyen A, Foerstel S, Kittler T, Kurzyukov A, Schwinn L, Zanca D, Hipp T, et al. Journal article, Original article Consensus based framework for digital mobility monitoring (2021) Kluge F, Del Din S, Cereatti A, Gaßner H, Hansen C, Helbostad JL, Klucken J, et al. Journal article