Quantifying postural instability in Parkinsonian gait from inertial sensor data during standardised clinical gait tests. - Julius Hannink; Felix Kluge 001; Heiko Gassner; Jochen Klucken; Björn M. Eskofier (BSN, 2017)

Benchmarking Foot Trajectory Estimation Methods for Mobile Gait Analysis. - Julius Hannink; Malte Ollenschläger; Felix Kluge 001; Nils Roth; Jochen Klucken; Björn M. Eskofier (Sensors, 2017)

Towards Mobile Gait Analysis: Concurrent Validity and Test-Retest Reliability of an Inertial Measurement System for the Assessment of Spatio-Temporal Gait Parameters. - Felix Kluge 001; Heiko Gassner; Julius Hannink; Cristian F. Pasluosta; Jochen Klucken; Björn M. Eskofier (Sensors, 2017)

Unsupervised harmonic frequency-based gait sequence detection for Parkinson's disease. - Martin Ullrich; Julius Hannink; Heiko Gaßner; Jochen Klucken; Björn M. Eskofier; Felix Kluge 001 (BHI, 2019)

Instrumented gait analysis in osteoarthritis: from lab towards ambulatory systems. - Felix Kluge 001 (2019)

Automatic clinical gait test detection from inertial sensor data. - Stefan Fischer; Martin Ullrich; Arne Küderle; Heiko Gaßner; Jochen Klucken; Björn M. Eskofier; Felix Kluge 001 (EMBC, 2020)

Simultaneous Indoor Pedestrian Localization and House Mapping Based on Inertial Measurement Unit and Bluetooth Low-Energy Beacon Data. - Jesus D. Ceron; Felix Kluge 001; Arne Küderle; Björn M. Eskofier; Diego M. López (Sensors, 2020)

Indoor Trajectory Reconstruction of Walking, Jogging, and Running Activities Based on a Foot-Mounted Inertial Pedestrian Dead-Reckoning System. - Jesus D. Ceron; Christine F. Martindale; Diego M. López; Felix Kluge 001; Björn M. Eskofier (Sensors, 2020)

Detection of Gait From Continuous Inertial Sensor Data Using Harmonic Frequencies. - Martin Ullrich; Arne Küderle; Julius Hannink; Silvia Del Din; Heiko Gaßner; Franz Marxreiter; Jochen Klucken; Björn M. Eskofier; Felix Kluge 001 (IEEE J. Biomed. Health Informatics, 2020)

Evaluation of Orthostatic Reactions in Real-World Environments Using Wearable Sensors. - Johanna Happold; Robert Richer; Arne Küderle; Heiko Gaßner; Jochen Klucken; Bjoern M. Eskofier; Felix Kluge 001 (EMBC, 2021)

Do We Walk Differently at Home? A Context-Aware Gait Analysis System in Continuous Real-World Environments. - Nils Roth; Georg P. Wieland; Arne Küderle; Martin Ullrich; Till Gladow; Franz Marxreiter; Jochen Klucken; Bjoern M. Eskofier; Felix Kluge 001 (EMBC, 2021)

Machine learning-based distinction of left and right foot contacts in lower back inertial sensor gait data. - Martin Ullrich; Arne Küderle; Luca Reggi; Andrea Cereatti; Bjoern M. Eskofier; Felix Kluge 001 (EMBC, 2021)

Online at Will: A Novel Protocol for Mutual Authentication in Peer-to-Peer Networks for Patient-Centered Health Care Information Systems. - Imrana Abdullahi; Tobias Dehling; Felix Kluge 001; Bjoern M. Eskofier; Ali Sunyaev (HICSS, 2021)

The Impact of Avatar Appearance, Perspective and Context on Gait Variability and User Experience in Virtual Reality. - Markus Wirth; Stefan Gradl; Georg Prosinger; Felix Kluge 001; Daniel Roth 001; Björn M. Eskofier (VR, 2021)

Improving Dyspnoea Symptom Control of Patients in Palliative Care Using a Smart Patch-A Proof of Concept Study. - Mostafa Kamal Mallick; Sarah Biser; Aathira Haridas; Vaishnavi Umesh; Olaf Tönsing; Imrana Abdullahi Yari; Malte Ollenschläger; Maria Heckel; Christoph Ostgathe; Felix Kluge 001; Björn M. Eskofier; Tobias Steigleder (Frontiers Digit. Health, 2021)

Walking on common ground: a cross-disciplinary scoping review on the clinical utility of digital mobility outcomes. - Ashley Polhemus; Laura Delgado Ortiz; Gavin Brittain; Nikolaos Chynkiamis; Francesca Salis; Heiko Gaßner; Michaela Gross; Cameron Kirk; Rachele Rossanigo; Kristin Taraldsen; Diletta Balta; Sofie Breuls; et al. (npj Digit. Medicine, 2021)

Validation of a Sensor-Based Gait Analysis System with a Gold-Standard Motion Capture System in Patients with Parkinson's Disease. - Verena Jakob; Arne Küderle; Felix Kluge 001; Jochen Klucken; Bjoern M. Eskofier; Jürgen Winkler; Martin Winterholler; Heiko Gassner (Sensors, 2021)

An Inertial Sensor-Based Gait Analysis Pipeline for the Assessment of Real-World Stair Ambulation Parameters. - Nils Roth; Arne Küderle; Dominik Prossel; Heiko Gassner; Bjoern M. Eskofier; Felix Kluge 001 (Sensors, 2021)

Development of an Inertial Sensor-Based Exergame for Combined Cognitive and Physical Training. - Fabio Egle; Felix Kluge 001; Daniel Schoene; Linda Becker; Anne D. Koelewijn (BSN, 2022)

Framework for Simultaneous Indoor Localization, Mapping, and Human Activity Recognition in Ambient Assisted Living Scenarios. - Jesus D. Ceron; Diego M. López; Felix Kluge 001; Bjoern M. Eskofier (Sensors, 2022)

MaD GUI: An Open-Source Python Package for Annotation and Analysis of Time-Series Data. - Malte Ollenschläger; Arne Küderle; Wolfgang A. Mehringer; Ann-Kristin Seifer; Jürgen Winkler; Heiko Gaßner; Felix Kluge 001; Bjoern M. Eskofier (Sensors, 2022)

Real-World Stair Ambulation Characteristics Differ Between Prospective Fallers and Non-Fallers in Parkinson's Disease. - Nils Roth; Martin Ullrich; Arne Küderle; Till Gladow; Franz Marxreiter; Heiko Gassner; Felix Kluge 001; Jochen Klucken; Bjoern M. Eskofier (IEEE J. Biomed. Health Informatics, 2022)

Fall Risk Prediction in Parkinson's Disease Using Real-World Inertial Sensor Gait Data. - Martin Ullrich; Nils Roth; Arne Küderle; Robert Richer; Till Gladow; Heiko Gaßner; Franz Marxreiter; Jochen Klucken; Bjoern M. Eskofier; Felix Kluge 001 (IEEE J. Biomed. Health Informatics, 2023)

uTUG: An unsupervised Timed Up and Go test for Parkinson's disease. - João Elison da Rosa Tavares; Martin Ullrich; Nils Roth; Felix Kluge 001; Bjoern M. Eskofier; Heiko Gaßner; Jochen Klucken; Till Gladow; Franz Marxreiter; Cristiano André da Costa; Rodrigo da Rosa Righi; Jorge Luis Victória Barbosa (Biomed. Signal Process. Control., 2023)

Association between cognition and gait in multiple sclerosis: A smartphone-based longitudinal analysis. - Alzhraa A. Ibrahim; Werner Adler; Heiko Gaßner; Veit Rothhammer; Felix Kluge 001; Bjoern M. Eskofier (Int. J. Medical Informatics, 2023)