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Bertram Taetz

3 accepted papers

2022

Towards Artefact Aware Human Motion Capture using Inertial Sensors Integrated into Loose Clothing

ICRA 2022poster

Inertial motion capture has become an attractive alternative to optical motion capture for human joint angle estimation outside the laboratory. Usually inertial sensors are assumed to be tightly fixed to the body segments, which can be cumbersome regarding setup-time and ease-of-use. However, integr…

Cited by 16SourceScholar
2017

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

ICRA 2017poster

The ability to accurately capture locomotion is relevant in various use cases, in particular in the sports and health area. With the major goal of providing a measurement system that can deliver different types of relevant information (3D body segment kinematics, spatiotemporal locomotion parameters…

Cited by 44SourceScholar
2015

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

ICCV 2015oral

Modern large displacement optical flow algorithms usually use an initialization by either sparse descriptor matching techniques or dense approximate nearest neighbor fields. While the latter have the advantage of being dense, they have the major disadvantage of being very outlier prone as they are n…

Cited by 325PDFScholar