Prof. Dr. Björn Eskofier

Picture of Björn Eskofier


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Types of publications

Journal article
Book chapter / Article in edited volumes
Authored book
Translation
Thesis
Edited Volume
Conference contribution
Other publication type
Unpublished / Preprint

Publication year

From
To

Abstract

Journal

Modelling postural control of upright standing during translational perturbations (2024) Shanbhag J, Fleischmann S, Gaßner H, Winkler J, Eskofier B, Koelewijn A, Wartzack S, Miehling J Conference contribution, Abstract of a poster An Anger-based Approach-Avoidance Modification Training Targeting Dysfunctional Beliefs in Adults with Elevated Stress – Results from a Randomized Controlled Pilot Study (2024) Keinert EM, Schindler-Gmelch L, Eskofier B, Berking M Journal article Enhancing Automatic Inertial Sensor Calibration Algorithm for Accurate Joint Angle Estimation in High Flexion Postures (2024) Laudanski AF, Küderle A, Kluge F, Eskofier B, Acker SM Journal article Mobile digital gait analysis captures effects of botulinum toxin in hereditary spastic paraplegia (2024) Ibrahim A, Ollenschläger M, Klebe S, Schüle R, Jeschonneck N, Kellner M, Loris E, et al. Journal article Invisible Sensing: Radar-based Biomonitoring (2024) Eskofier B, Vossiek M Journal article Real-World Gait Detection Using a Wrist-Worn Inertial Sensor: Validation Study (2024) Kluge F, Brand YE, Micó-Amigo ME, Bertuletti S, D'Ascanio I, Gazit E, Bonci T, et al. Journal article A content-based review of mobile health applications for breast cancer prevention and education: Characteristics, quality and functionality analysis (2024) Altmannshofer S, Flaucher M, Beierlein M, Eskofier B, Beckmann M, Fasching P, Hübner H Journal article, Review article Sensory evaluation of axillary odour samples of younger and older adults by a trained panel (2024) Owsienko D, Schwinn L, Eskofier B, Kiesswetter E, Loos H Journal article MANAGEMENT BY DIGITAL RESPONSIBILITY IN HEALTH ORGANIZATIONS (2024) Meier JJ, Weigand C, Bauer J, Eskofier B Conference contribution Exploring Dataset Bias and Scaling Techniques in Multi-Source Gait Biomechanics: An Explainable Machine Learning Approach (2024) Fleischmann S, Dietz S, Shanbhag J, Wünsch A, Nitschke M, Miehling J, Wartzack S, et al. Journal article, Original article