1 citations · 1 across the 14 of their papers we have counts for
15 papers
MiBOT: A head-worn robot that modulates cardiovascular responses through human-like soft massage
Alice Mylaeus, Stephanie Vogt, Berken Utku Demirel +4
Massage therapy is helpful for the rehabilitation of various diseases, such as headaches caused by migraines and stress. Existing robotic systems have focused on massage therapy on…
TraceBench: Controlled Evaluation of LLM Agents for Time-Series Root-Cause Attribution
Tommaso Bendinelli, Artur Dox, Christian Holz
LLM agents are increasingly applied to anomaly detection and root-cause analysis in time-series observations collected from real-world systems; however, their performance on these…
EgoHRV: Continuous Heart Rate Variability Estimation from Egocentric Systems for Autonomic Response and Skill Assessment
Berken Utku Demirel, Christian Holz
Egocentric vision systems capture human behavior from visible cues, but overlook physiological indicators of autonomic states such as stress, engagement, and attention. Heart rate…
FW-NKF: Frequency-Weighted Neural Kalman Filters
Adnan Harun Dogan, Berken Utku Demirel, Christian Holz
Robust state estimation is central to robotic autonomy, yet classical Kalman filters struggle with frequency-dependent disturbances and model mismatch such as sensor vibrations, el…
Ultra Diffusion Poser: Diffusion-Based Human Motion Tracking From Sparse Inertial Sensors and Ranging-Based Between-Sensor Distances
Dominik Hollidt, Tommaso Bendinelli, Christian Holz
Methods using inertial measurement units (IMUs) provide a wearable alternative to camera-based motion capture. To mitigate drift from inertial signals, recent sparse inertial pose…
Temporal Cardiovascular Dynamics for Improved PPG-Based Heart Rate Estimation
Berken Utku Demirel, Christian Holz
The oscillations of the human heart rate are inherently complex and non-linear -- they are best described by mathematical chaos, and they present a challenge when applied to the pr…
Learning Without Augmenting: Unsupervised Time Series Representation Learning via Frame Projections
Berken Utku Demirel, Christian Holz
Self-supervised learning (SSL) has emerged as a powerful paradigm for learning representations without labeled data. Most SSL approaches rely on strong, well-established, handcraft…
Tiny Neural Networks for Multi-Object Tracking in a Modular Kalman Framework
Christian Alexander Holz, Christian Bader, Markus Enzweiler +1
We present a modular, production-ready approach that integrates compact Neural Network (NN) into a Kalmanfilter-based Multi-Object Tracking (MOT) pipeline. We design three tiny tas…
Exploring LLM Agents for Cleaning Tabular Machine Learning Datasets
Tommaso Bendinelli, Artur Dox, Christian Holz
High-quality, error-free datasets are a key ingredient in building reliable, accurate, and unbiased machine learning (ML) models. However, real world datasets often suffer from err…
Beyond Subjectivity: Continuous Cybersickness Detection Using EEG-based Multitaper Spectrum Estimation
Berken Utku Demirel, Adnan Harun Dogan, Juliete Rossie +2
Virtual reality (VR) presents immersive opportunities across many applications, yet the inherent risk of developing cybersickness during interaction can severely reduce enjoyment a…
Shifting the Paradigm: A Diffeomorphism Between Time Series Data Manifolds for Achieving Shift-Invariancy in Deep Learning
Berken Utku Demirel, Christian Holz
Deep learning models lack shift invariance, making them sensitive to input shifts that cause changes in output. While recent techniques seek to address this for images, our finding…
Tri-Spectral PPG: Robust Reflective Photoplethysmography by Fusing Multiple Wavelengths for Cardiac Monitoring
Manuel Meier, Berken Utku Demirel, Christian Holz
Multi-channel photoplethysmography (PPG) sensors have found widespread adoption in wearable devices for monitoring cardiac health. Channels thereby serve different functions -- whe…
WildPPG: A Real-World PPG Dataset of Long Continuous Recordings
Manuel Meier, Berken Utku Demirel, Christian Holz
Reflective photoplethysmography (PPG) has become the default sensing technique in wearable devices to monitor cardiac activity via a person's heart rate (HR). However, PPG-based HR…
Respiro: Continuous Respiratory Rate Monitoring During Motion via Wearable Ultra-Wideband Radar
Sebastian Reidy, Manuel Meier, Christian Holz
Deviations in respiratory rate often precede abnormalities in other vital signs. However, continuously monitoring respiratory rates outside clinical settings remains challenging du…
An Unsupervised Approach for Periodic Source Detection in Time Series
Berken Utku Demirel, Christian Holz
Detection of periodic patterns of interest within noisy time series data plays a critical role in various tasks, spanning from health monitoring to behavior analysis. Existing lear…