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Thomas Seel
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IMU-based joint angle measurement for gait analysis
T Seel, J Raisch, T Schauer
Sensors 14 (4), 6891-6909, 2014
9602014
Voltage stability and reactive power sharing in inverter-based microgrids with consensus-based distributed voltage control
J Schiffer, T Seel, J Raisch, T Sezi
IEEE Transactions on Control Systems Technology 24 (1), 96-109, 2015
4832015
Joint axis and position estimation from inertial measurement data by exploiting kinematic constraints
T Seel, T Schauer, J Raisch
2012 IEEE International Conference on Control Applications, 45-49, 2012
1702012
Alignment-free, self-calibrating elbow angles measurement using inertial sensors
P Müller, MA Bégin, T Schauer, T Seel
IEEE journal of biomedical and health informatics 21 (2), 312-319, 2016
1452016
Iterative learning control of a drop foot neuroprosthesis—Generating physiological foot motion in paretic gait by automatic feedback control
T Seel, C Werner, J Raisch, T Schauer
Control Engineering Practice 48, 87-97, 2016
1372016
Advanced technology for gait rehabilitation: An overview
T Mikolajczyk, I Ciobanu, DI Badea, A Iliescu, S Pizzamiglio, T Schauer, ...
Advances in Mechanical Engineering 10 (7), 1687814018783627, 2018
1042018
Iterative learning control for variable pass length systems
T Seel, T Schauer, J Raisch
IFAC Proceedings Volumes 44 (1), 4880-4885, 2011
962011
Eliminating the effect of magnetic disturbances on the inclination estimates of inertial sensors
T Seel, S Ruppin
IFAC-PapersOnLine 50 (1), 8798-8803, 2017
922017
Monotonic convergence of iterative learning control systems with variable pass length
T Seel, T Schauer, J Raisch
International Journal of Control 90 (3), 393-406, 2017
832017
The adaptive drop foot stimulator–multivariable learning control of foot pitch and roll motion in paretic gait
T Seel, C Werner, T Schauer
Medical engineering & physics 38 (11), 1205-1213, 2016
822016
Analysis of the accuracy of ten algorithms for orientation estimation using inertial and magnetic sensing under optimal conditions: One size does not fit all
M Caruso, AM Sabatini, D Laidig, T Seel, M Knaflitz, U Della Croce, ...
Sensors 21 (7), 2543, 2021
812021
Exploiting kinematic constraints to compensate magnetic disturbances when calculating joint angles of approximate hinge joints from orientation estimates of inertial sensors
D Laidig, T Schauer, T Seel
2017 International Conference on Rehabilitation Robotics (ICORR), 971-976, 2017
772017
Automatic anatomical calibration for IMU-based elbow angle measurement in disturbed magnetic fields
D Laidig, P Müller, T Seel
Current directions in biomedical engineering 3 (2), 167-170, 2017
582017
A tangible solution for hand motion tracking in clinical applications
C Salchow-Hömmen, L Callies, D Laidig, M Valtin, T Schauer, T Seel
Sensors 19 (1), 208, 2019
572019
Experimental evaluation of a novel inertial sensor based realtime gait phase detection algorithm
P Muller, T Seel, T Schauer
Proceedings of the Technically Assisted Rehabilitation Conference, 2015
522015
Online gait phase detection with automatic adaption to gait velocity changes using accelerometers and gyroscopes
T Seel, L Landgraf, T Schauer
Biomed Tech 59 (s1), S795-98, 2014
512014
Development and clinical validation of inertial sensor-based gait-clustering methods in Parkinson’s disease
A Nguyen, N Roth, NH Ghassemi, J Hannink, T Seel, J Klucken, ...
Journal of neuroengineering and rehabilitation 16, 1-14, 2019
462019
Iterative learning control with variable pass length applied to trajectory tracking on a crane with output constraints
M Guth, T Seel, J Raisch
52nd IEEE conference on decision and control, 6676-6681, 2013
462013
RIANN—A robust neural network outperforms attitude estimation filters
D Weber, C Gühmann, T Seel
Ai 2 (3), 444-463, 2021
432021
Neural networks versus conventional filters for inertial-sensor-based attitude estimation
D Weber, C Gühmann, T Seel
2020 IEEE 23rd International Conference on Information Fusion (FUSION), 1-8, 2020
432020
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