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Bertram Taetz
Bertram Taetz
Professor for Data Science and AI at International University of Applied Sciences
Dirección de correo verificada de iu.org
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Flow fields: Dense correspondence fields for highly accurate large displacement optical flow estimation
C Bailer, B Taetz, D Stricker
Proceedings of the IEEE international conference on computer vision, 4015-4023, 2015
3102015
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
1142019
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
1132018
On inertial body tracking in the presence of model calibration errors
M Miezal, B Taetz, G Bleser
Sensors 16 (7), 1132, 2016
1082016
IMU-to-segment assignment and orientation alignment for the lower body using deep learning
T Zimmermann, B Taetz, G Bleser
Sensors 18 (1), 302, 2018
972018
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
952018
An unstaggered constrained transport method for the 3D ideal magnetohydrodynamic equations
C Helzel, JA Rossmanith, B Taetz
Journal of Computational Physics 230 (10), 3803-3829, 2011
762011
Towards self-calibrating inertial body motion capture
B Taetz, G Bleser, M Miezal
2016 19th International Conference on Information Fusion (FUSION), 1751-1759, 2016
722016
Extended coherent point drift algorithm with correspondence priors and optimal subsampling
V Golyanik, B Taetz, G Reis, D Stricker
2016 IEEE winter conference on applications of computer vision (WACV), 1-9, 2016
582016
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
512019
Interpretability of input representations for gait classification in patients after total hip arthroplasty
C Dindorf, W Teufl, B Taetz, G Bleser, M Fröhlich
Sensors 20 (16), 4385, 2020
502020
Classification and automated interpretation of spinal posture data using a pathology-independent classifier and explainable artificial intelligence (XAI)
C Dindorf, J Konradi, C Wolf, B Taetz, G Bleser, J Huthwelker, ...
Sensors 21 (18), 6323, 2021
432021
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
422017
On-line motion prediction and adaptive control in human-robot handover tasks
M Wu, B Taetz, ED Saraiva, G Bleser, S Liu
2019 IEEE International Conference on Advanced Robotics and its Social …, 2019
242019
A high-order unstaggered constrained-transport method for the three-dimensional ideal magnetohydrodynamic equations based on the method of lines
C Helzel, JA Rossmanith, B Taetz
SIAM Journal on Scientific Computing 35 (2), A623-A651, 2013
222013
General method for automated feature extraction and selection and its application for gender classification and biomechanical knowledge discovery of sex differences in spinal …
C Dindorf, J Konradi, C Wolf, B Taetz, G Bleser, J Huthwelker, P Drees, ...
Computer Methods in Biomechanics and Biomedical Engineering 24 (3), 299-307, 2021
202021
[POSTER] a probabilistic combination of CNN and RNN estimates for hand gesture based interaction in car
A Tewari, B Taetz, F Grandidier, D Stricker
2017 IEEE International Symposium on Mixed and Augmented Reality (ISMAR …, 2017
192017
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
182021
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
172017
Uncertainty based active learning with deep neural networks for inertial gait analysis
A Vaith, B Taetz, G Bleser
2020 IEEE 23rd International Conference on Information Fusion (FUSION), 1-8, 2020
162020
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Artículos 1–20