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Bertram Taetz
Bertram Taetz
Professor for Data Science and AI at International University of Applied Sciences
Verified email at iu.org
Title
Cited by
Cited by
Year
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
3232015
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
1282019
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
1242018
On inertial body tracking in the presence of model calibration errors
M Miezal, B Taetz, G Bleser
Sensors 16 (7), 1132, 2016
1132016
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
1112018
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
1062018
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
742016
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
632016
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
552020
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
552019
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
482021
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
442017
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
272019
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
242013
[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
232017
An adaptive learning and control framework based on dynamic movement primitives with application to human–robot handovers
M Wu, B Taetz, Y He, G Bleser, S Liu
Robotics and Autonomous Systems 148, 103935, 2022
202022
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
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
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
182020
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