Bertram Taetz

Orcid: 0000-0001-9921-4874

According to our database1, Bertram Taetz authored at least 42 papers between 2011 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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On csauthors.net:

Bibliography

2023
DiveNet: Dive Action Localization and Physical Pose Parameter Extraction for High Performance Training.
IEEE Access, 2023

On Orientation Distribution Representations with Reliable Uncertainties in Inertial Motion Tracking.
Proceedings of the 2023 IEEE SENSORS, Vienna, Austria, October 29 - Nov. 1, 2023, 2023

On Motion Artifacts Arising when Integrating Inertial Sensors into Loose Clothing Such as a Working Jacket.
Proceedings of the 9th International Conference on Control, 2023

2022
Autoencoder and Partially Impossible Reconstruction Losses.
Sensors, 2022

An adaptive learning and control framework based on dynamic movement primitives with application to human-robot handovers.
Robotics Auton. Syst., 2022

Towards Artefact Aware Human Motion Capture using Inertial Sensors Integrated into Loose Clothing.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Autoencoder for Synthetic to Real Generalization: From Simple to More Complex Scenes.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Autoencoder Attractors for Uncertainty Estimation.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Towards Inertial Human Motion Tracking with Drift-Free Absolute Orientations using only Sparse Sources of Heading Information.
Proceedings of the 25th International Conference on Information Fusion, 2022

2021
Classification and Automated Interpretation of Spinal Posture Data Using a Pathology-Independent Classifier and Explainable Artificial Intelligence (XAI).
Sensors, 2021

Magnetometer Robust Deep Human Pose Regression With Uncertainty Prediction Using Sparse Body Worn Magnetic Inertial Measurement Units.
IEEE Access, 2021

Illumination Normalization by Partially Impossible Encoder-Decoder Cost Function.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Autoencoder Based Inter-Vehicle Generalization for In-Cabin Occupant Classification.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2021

2020
Force Shadows: An Online Method to Estimate and Distribute Vertical Ground Reaction Forces from Kinematic Data.
Sensors, 2020

Interpretability of Input Representations for Gait Classification in Patients after Total Hip Arthroplasty.
Sensors, 2020

Uncertainty based active learning with deep neural networks for inertial gait analysis.
Proceedings of the IEEE 23rd International Conference on Information Fusion, 2020

2019
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.
Sensors, 2019

Towards Inertial Sensor Based Mobile Gait Analysis: Event-Detection and Spatio-Temporal Parameters.
Sensors, 2019

Flow Fields: Dense Correspondence Fields for Highly Accurate Large Displacement Optical Flow Estimation.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

On Attitude Representations for Optimization-Based Bayesian Smoothing.
Proceedings of the 22th International Conference on Information Fusion, 2019

On-line Motion Prediction and Adaptive Control in Human-Robot Handover Tasks.
Proceedings of the 2019 IEEE International Conference on Advanced Robotics and its Social Impacts, 2019

2018
IMU-to-Segment Assignment and Orientation Alignment for the Lower Body Using Deep Learning.
Sensors, 2018

Validity, Test-Retest Reliability and Long-Term Stability of Magnetometer Free Inertial Sensor Based 3D Joint Kinematics.
Sensors, 2018

Human Motion Capturing and Activity Recognition Using Wearable Sensor Networks.
Proceedings of the Developing Support Technologies, 2018

2017
Development of an Inertial Motion Capture System for Clinical Application.
i-com, 2017

Optical Flow Fields: Dense Correspondence Fields for Highly Accurate Large Displacement Optical Flow Estimation.
CoRR, 2017

A framework for an accurate point cloud based registration of full 3D human body scans.
Proceedings of the Fifteenth IAPR International Conference on Machine Vision Applications, 2017

A Probabilistic Combination of CNN and RNN Estimates for Hand Gesture Based Interaction in Car.
Proceedings of the IEEE International Symposium on Mixed and Augmented Reality, 2017

Real-time inertial lower body kinematics and ground contact estimation at anatomical foot points for agile human locomotion.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Identification of Medically Relevant Application Scenarios for a Wearable Motion Analysis System.
Proceedings of the 47. Jahrestagung der Gesellschaft für Informatik, 2017

2016
On Inertial Body Tracking in the Presence of Model Calibration Errors.
Sensors, 2016

Occlusion-aware video registration for highly non-rigid objects.
Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

Extended coherent point drift algorithm with correspondence priors and optimal subsampling.
Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

Two Phase Classification for Early Hand Gesture Recognition in 3D Top View Data.
Proceedings of the Advances in Visual Computing - 12th International Symposium, 2016

Adding Model Constraints to CNN for Top View Hand Pose Recognition in Range Images.
Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods, 2016

Joint pre-alignment and robust rigid point set registration.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Towards self-calibrating inertial body motion capture.
Proceedings of the 19th International Conference on Information Fusion, 2016

2015
Using Mutual Independence of Slow Features for Increased Information and Improved Hand Pose Classification.
J. WSCG, 2015

2014
Ambulatory inertial spinal tracking using constraints.
Proceedings of the 9th International Conference on Body Area Networks, 2014

2013
A High-Order Unstaggered Constrained-Transport Method for the Three-Dimensional Ideal Magnetohydrodynamic Equations Based on the Method of Lines.
SIAM J. Sci. Comput., 2013

Keypoint Detection and Matching on High Resolution Spherical Images.
Proceedings of the Advances in Visual Computing - 9th International Symposium, 2013

2011
An unstaggered constrained transport method for the 3D ideal magnetohydrodynamic equations.
J. Comput. Phys., 2011


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