15 papers
You Only Flow Once: Calibrated and Real-Time Radar Pose Estimation with Multi-Hypothesis Normalizing Flows
Jonas Leo Mueller, Sebastian Hoefler, Dario Zanca +3
Sparse and noisy millimeter-wave radar point cloud observations often correspond to multiple plausible human poses, making deterministic pose estimation fundamentally ill-posed. Ye…
Learning Biomechanically Plausible Human Motion from Sparse Radar Point Clouds
Jonas Leo Mueller, Markus Gambietz, Alexander Weiss +2
Radar-based human pose estimation has focused on improving learning algorithms while representing the body as unconstrained keypoint coordinates. We address the underexplored dimen…
Multi-Channel Soil Moisture Measurement: High Accuracy and Low Crosstalk Through Optical-Semiconductor Based Differential Sensing
Thomas Maier, Charlotte Rohleder, Lukas Kamm +3
Soil moisture measurement plays a key role in irrigation and environmental management. Yet it remains unreliable due to heterogeneous soils, limited sensing volumes, temperature dr…
Robust and Efficient Writer-Independent IMU-Based Handwriting Recognition
Jindong Li, Tim Hamann, Jens Barth +3
Handwriting recognition (HWR) using inertial measurement unit (IMU) data remains challenging due to variations in writing styles and the limited availability of datasets. Previous…
How Human-Like Are Large Language Models? A Register-Aware Linguistic Evaluation Framework
Björn Nieth, Marianna Gracheva, Michaela Mahlberg +2
While factual correctness and task-performance have been in focus of Large Language Model (LLM) research for a long time, the fundamental question of how human-like generated texts…
RadProPoser: Probabilistic Radar Tensor Human Pose Estimation That Knows Its Limits
Jonas Leo Mueller, Lukas Engel, Eva Dorschky +4
Radar-based human pose estimation enables privacy-preserving motion tracking for ambient intelligence, yet the noisy nature of radar sensing makes uncertainty quantification essent…