Bertram Taetz

发表

Force Shadows: An Online Method to Estimate and Distribute Vertical Ground Reaction Forces from Kinematic Data

Alexander Weidmann, Bertram Taetz, Matthias Andres, 2020, Sensors.

Joint pre-alignment and robust rigid point set registration

Didier Stricker, Bertram Taetz, Vladislav Golyanik, 2016, 2016 IEEE International Conference on Image Processing (ICIP).

Keypoint Detection and Matching on High Resolution Spherical Images

Didier Stricker, Bertram Taetz, Christiano Couto Gava, 2013, ISVC.

Ambulatory inertial spinal tracking using constraints

Norbert Schmitz, Bertram Taetz, Gabriele Bleser, 2014, BODYNETS.

Illumination Normalization by Partially Impossible Encoder-Decoder Cost Function pdf

Bertram Taetz, Steve Dias Da Cruz, Didier Stricker, 2020, ArXiv.

Real-time inertial lower body kinematics and ground contact estimation at anatomical foot points for agile human locomotion

Bertram Taetz, Gabriele Bleser, Markus Miezal, 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA).

Validity, Test-Retest Reliability and Long-Term Stability of Magnetometer Free Inertial Sensor Based 3D Joint Kinematics

Bertram Taetz, Michael Fröhlich, Gabriele Bleser, 2018, Sensors.

On optical data-guided optimal control simulations of human motion

Bertram Taetz, Sigrid Leyendecker, Gabriele Bleser, 2020 .

Flow Fields: Dense Correspondence Fields for Highly Accurate Large Displacement Optical Flow Estimation

Didier Stricker, Bertram Taetz, Christian Bailer, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

On Attitude Representations for Optimization-Based Bayesian Smoothing

Bertram Taetz, Gabriele Bleser, Manon Kok, 2019, 2019 22th International Conference on Information Fusion (FUSION).

Towards self-calibrating inertial body motion capture

Bertram Taetz, Gabriele Bleser, Markus Miezal, 2016, 2016 19th International Conference on Information Fusion (FUSION).

Flow Fields: Dense Correspondence Fields for Highly Accurate Large Displacement Optical Flow Estimation

Didier Stricker, Bertram Taetz, Christian Bailer, 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.

On-line Motion Prediction and Adaptive Control in Human-Robot Handover Tasks

Bertram Taetz, Gabriele Bleser, Min Wu, 2019, 2019 IEEE International Conference on Advanced Robotics and its Social Impacts (ARSO).

An unstaggered constrained transport method for the 3D ideal magnetohydrodynamic equations

Bertram Taetz, James A. Rossmanith, Christiane Helzel, 2010, J. Comput. Phys..

Optical Flow Fields: Dense Correspondence Fields for Highly Accurate Large Displacement Optical Flow Estimation pdf

Didier Stricker, Bertram Taetz, Christian Bailer, 2017, ArXiv.

Combination of temporal neural networks for improved hand gesture classification

Bertram Taetz, Aditya Tewari, Frédéric Grandidier, 2018 .

FROM TRADITIONAL TO INTERDISCIPLINARY APPROACHES FOR INERTIAL BODY MOTION CAPTURE

Bertram Taetz, Gabriele Bleser, Markus Miezal, 2016 .

Towards Inertial Sensor Based Mobile Gait Analysis: Event-Detection and Spatio-Temporal Parameters

Michael Lorenz, Bertram Taetz, Michael Fröhlich, 2018, Sensors.

On Inertial Body Tracking in the Presence of Model Calibration Errors

Bertram Taetz, Gabriele Bleser, Markus Miezal, 2016, Sensors.

Depth camera based statistical shape fitting approach for the creation of an individualized lower body biomechanical model: validity and reliability

Alexander Weidmann, Bertram Taetz, Gabriele Bleser, 2019, Computer methods in biomechanics and biomedical engineering.

Development of an Inertial Motion Capture System for Clinical Application

Bertram Taetz, Daniel Steffen, Gabriele Bleser, 2017, i-com.

Uncertainty based active learning with deep neural networks for inertial gait analysis

Bertram Taetz, Gabriele Bleser, Alexander Vaith, 2020, 2020 IEEE 23rd International Conference on Information Fusion (FUSION).

[POSTER] A Probabilistic Combination of CNN and RNN Estimates for Hand Gesture Based Interaction in Car

Didier Stricker, Frederic Grandidier, Bertram Taetz, 2017, 2017 IEEE International Symposium on Mixed and Augmented Reality (ISMAR-Adjunct).

Identification of Medically Relevant Application Scenarios for a Wearable Motion Analysis System

Bertram Taetz, Daniel Steffen, Alexandra Hoffmann, 2017, GI-Jahrestagung.

IMU-to-Segment Assignment and Orientation Alignment for the Lower Body Using Deep Learning

Bertram Taetz, Gabriele Bleser, Tobias Zimmermann, 2018, Sensors.

General method for automated feature extraction and selection and its application for gender classification and biomechanical knowledge discovery of sex differences in spinal posture during stance and gait

Bertram Taetz, Gabriele Bleser, Michael Fröhlich, 2020, Computer methods in biomechanics and biomedical engineering.

Occlusion-aware video registration for highly non-rigid objects

Didier Stricker, Bertram Taetz, Vladislav Golyanik, 2016, 2016 IEEE Winter Conference on Applications of Computer Vision (WACV).

A framework for an accurate point cloud based registration of full 3D human body scans

Didier Stricker, Bertram Taetz, Vladislav Golyanik, 2017, 2017 Fifteenth IAPR International Conference on Machine Vision Applications (MVA).

Adding Model Constraints to CNN for Top View Hand Pose Recognition in Range Images

Didier Stricker, Frederic Grandidier, Bertram Taetz, 2016, ICPRAM.

A High-Order Unstaggered Constrained-Transport Method for the Three-Dimensional Ideal Magnetohydrodynamic Equations Based on the Method of Lines

Bertram Taetz, Christiane Helzel, James A. Rossmanith, 2013, SIAM J. Sci. Comput..

Interpretability of Input Representations for Gait Classification in Patients after Total Hip Arthroplasty

Bertram Taetz, Gabriele Bleser, Michael Fröhlich, 2020, Sensors.

Extended coherent point drift algorithm with correspondence priors and optimal subsampling

Didier Stricker, Bertram Taetz, Vladislav Golyanik, 2016, 2016 IEEE Winter Conference on Applications of Computer Vision (WACV).

Human Motion Capturing and Activity Recognition Using Wearable Sensor Networks

Paul Lukowicz, Bertram Taetz, Gabriele Bleser, 2018, Developing Support Technologies.

Two Phase Classification for Early Hand Gesture Recognition in 3D Top View Data

Didier Stricker, Frederic Grandidier, Bertram Taetz, 2016, ISVC.

Towards an Inertial Sensor-Based Wearable Feedback System for Patients after Total Hip Arthroplasty: Validity and Applicability for Gait Classification with Gait Kinematics-Based Features

Bertram Taetz, Thomas Jöllenbeck, Michael Fröhlich, 2019, Sensors.

Magnetometer Robust Deep Human Pose Regression With Uncertainty Prediction Using Sparse Body Worn Magnetic Inertial Measurement Units

Didier Stricker, Bertram Taetz, Pramod Murthy, 2021, IEEE Access.

Classification and Automated Interpretation of Spinal Posture Data Using a Pathology-Independent Classifier and Explainable Artificial Intelligence (XAI)

Bertram Taetz, Michael Fröhlich, Gabriele Bleser, 2021, Sensors.

Autoencoder Based Inter-Vehicle Generalization for In-Cabin Occupant Classification

Didier Stricker, Bertram Taetz, Steve Dias Da Cruz, 2021, 2021 IEEE Intelligent Vehicles Symposium (IV).

A high-order unstaggered constrained transport method for the 3D ideal magnetohydrodynamic equations based on the method of lines

Bertram Taetz, James A. Rossmanith, Christiane Helzel, 2012, 1203.3760.

Validity of inertial sensor based 3D joint kinematics of static and dynamic sport and physiotherapy specific movements

Bertram Taetz, Michael Fröhlich, Gabriele Bleser, 2019, PloS one.