Markus Miezal
Markus Miezal
Researcher, Technische Universität Kaiserslautern
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Cited by
Cited by
Survey of motion tracking methods based on inertial sensors: A focus on upper limb human motion
A Filippeschi, N Schmitz, M Miezal, G Bleser, E Ruffaldi, D Stricker
Sensors 17 (6), 1257, 2017
Innovative system for real-time ergonomic feedback in industrial manufacturing
N Vignais, M Miezal, G Bleser, K Mura, D Gorecky, F Marin
Applied ergonomics 44 (4), 566-574, 2013
Validity of inertial sensor based 3D joint kinematics of static and dynamic sport and physiotherapy specific movements
W Teufl, M Miezal, B Taetz, M Fröhlich, G Bleser
PloS one 14 (2), e0213064, 2019
Towards inertial sensor based mobile gait analysis: Event-detection and spatio-temporal parameters
W Teufl, M Lorenz, M Miezal, B Taetz, M Fröhlich, G Bleser
Sensors 19 (1), 38, 2018
On inertial body tracking in the presence of model calibration errors
M Miezal, B Taetz, G Bleser
Sensors 16 (7), 1132, 2016
Validity, test-retest reliability and long-term stability of magnetometer free inertial sensor based 3D joint kinematics
W Teufl, M Miezal, B Taetz, M Fröhlich, G Bleser
Sensors 18 (7), 1980, 2018
Towards self-calibrating inertial body motion capture
B Taetz, G Bleser, M Miezal
2016 19th International Conference on Information Fusion (FUSION), 1751-1759, 2016
Cognitive learning, monitoring and assistance of industrial workflows using egocentric sensor networks
G Bleser, D Damen, A Behera, G Hendeby, K Mura, M Miezal, A Gee, ...
PloS one 10 (6), e0127769, 2015
Using egocentric vision to achieve robust inertial body tracking under magnetic disturbances
G Bleser, G Hendeby, M Miezal
2011 10th IEEE International Symposium on Mixed and Augmented Reality, 103-109, 2011
Towards an inertial sensor-based wearable feedback system for patients after total hip arthroplasty: Validity and applicability for gait classification with gait kinematics …
W Teufl, B Taetz, M Miezal, M Lorenz, J Pietschmann, T Jöllenbeck, ...
Sensors 19 (22), 5006, 2019
Real-time inertial lower body kinematics and ground contact estimation at anatomical foot points for agile human locomotion
M Miezal, B Taetz, G Bleser
2017 IEEE international conference on robotics and automation (ICRA), 3256-3263, 2017
A generic approach to inertial tracking of arbitrary kinematic chains
M Miezal, G Bleser, N Schmitz, D Stricker
Proceedings of the 8th international conference on body area networks, 189-192, 2013
Automated detection and explainability of pathological gait patterns using a one-class support vector machine trained on inertial measurement unit based gait data
W Teufl, B Taetz, M Miezal, C Dindorf, M Fröhlich, U Trinler, A Hogan, ...
Clinical Biomechanics 89, 105452, 2021
Development of an inertial motion capture system for clinical application: Potentials and challenges from the technology and application perspectives
G Bleser, B Taetz, M Miezal, CA Christmann, D Steffen, K Regenspurger
i-com 16 (2), 113-129, 2017
Ambulatory inertial spinal tracking using constraints
M Miezal, B Taetz, N Schmitz, G Bleser
Proceedings of the 9th International Conference on Body Area Networks, 131-134, 2014
On optical data-guided optimal control simulations of human motion
R Hoffmann, B Taetz, M Miezal, G Bleser, S Leyendecker
Multibody System Dynamics 48 (1), 105-126, 2020
Towards bridging the gap between motion capturing and biomechanical optimal control simulations
T Gail, R Hoffmann, M Miezal, G Bleser, S Leyendecker
Thematic Conference on Multibody Dynamics, 2015
Towards practical inside-out head tracking for mobile seating bucks
M Miezal, G Bleser, D Stricker, J Tümler
Proceedings of International Symposium on Mixed and Augmented Reality (ISMAR …, 2012
P 052–Detection of lower extremity asymmetries in slow and dynamic bilateral tasks. Inertial Sensor system vs Optical Motion Capture System
W Teufl, M Miezal, B Taetz, M Fröhlich, G Bleser
Gait & Posture 95, 219-220, 2022
Models, Methods and Error Source Investigation for Real-time Kalman Filter Based Inertial Human Body Tracking
M Miezal
Verlag Dr. Hut, 2021
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