4 citations · 8 across the 19 of their papers we have counts for
23 papers
For You, Not for Everyone: Bystander-Aware Delivery of Critical Feedback in Robot Tutoring
Atikkhan Faridkhan Nilgar, Manuel Dietrich, Kristof Van Laerhoven
Robots in shared settings may expose information intended for an individual user to nearby bystanders. Robot tutoring makes this concern particularly salient: critical feedback is…
Just Between Us? Exploring a Wearable-Mediated Channel for Discreet Human-Agent Interaction in a Shared Game Setting
Atikkhan Faridkhan Nilgar, Manuel Dietrich, Kristof Van Laerhoven
In shared settings, social robots may need to exchange information with an individual while limiting co-present others' access to or interpretation of that information. Publicly ob…
X-MULTI: VLM-based Imaging Factor Disentanglement for Factor-Aware Image Synthesis
Sonali Godavarthy, Matthias Neuwirth-Trapp, Tim-Felix Faasch +4
Imaging factor disentanglement in text-to-image generation aims to independently control image acquisition properties such as types of camera lenses, sensor types, viewpoints, and…
A Comparison of Fusion Techniques for Multi-Modal Human Activity Recognition on the HARMES Dataset
Ahmed Mohamady, Robin Burchard, Kristof Van Laerhoven
Recent advances in Human Activity Recognition (HAR) from wearable sensors have shown that multi-modal deep learning models consistently outperform their uni-modal counterparts. Mod…
HARMES: A Multi-Modal Dataset for Wearable Human Activity Recognition with Motion, Environmental Sensing and Sound
Robin Burchard, Pascal-André Brückner, Marius Bock +2
With each sensing modality exhibiting inherent strengths and limitations, multi-modal approaches for wearable Human Activity Recognition (HAR) are becoming increasingly relevant --…
Eye-Tracking-Driven Control in Daily Task Assistance for Assistive Robotic Arms
Anke Fischer-Janzen, Thomas M. Wendt, Kristof Van Laerhoven
Shared control improves Human-Robot Interaction by reducing the user's workload and increasing the robot's autonomy. It allows robots to perform tasks under the user's supervision.…
Environment-Aware Indoor LoRaWAN Path Loss: Parametric Regression Comparisons, Shadow Fading, and Calibrated Fade Margins
Nahshon Mokua Obiri, Kristof Van Laerhoven
Indoor long range wide area network (LoRaWAN) propagation is shaped by structural and time-varying environmental factors, which limit single-slope log-distance models and the stand…
-Quant: Towards Learnable Quantization for Low-bit Pattern Recognition
Mishal Fatima, Shashank Agnihotri, Marius Bock +4
Most pattern recognition models are developed on pre-proce\-ssed data. In computer vision, for instance, RGB images processed through image signal processing (ISP) pipelines design…
TubeBEND: A Real-World Dataset for Geometry Prediction in Rotary Draw Bending
Zeyneddin Oz, Jonas Knoche, Alireza Yazdani +2
This paper presents TubeBEND, a real-world dataset comprising 318 rotary tube bending processes, which were collected and sorted by experts from various fields to evaluate machine…
Privacy Perceptions in Robot-Assisted Well-Being Coaching: Examining the Roles of Information Transparency, User Control, and Proactivity
Atikkhan Faridkhan Nilgar, Manuel Dietrich, Kristof Van Laerhoven
Social robots are increasingly recognized as valuable supporters in the field of well-being coaching. They can function as independent coaches or provide support alongside human co…
SRWToolkit: An Open Source Wizard of Oz Toolkit to Create Social Robotic Avatars
Atikkhan Faridkhan Nilgar, Kristof Van Laerhoven, Ayub Kinoti
We present SRWToolkit, an open-source Wizard of Oz toolkit designed to facilitate the rapid prototyping of social robotic avatars powered by local large language models (LLMs). Our…
FedFitTech: A Baseline in Federated Learning for Fitness Tracking
Zeyneddin Oz, Shreyas Korde, Marius Bock +1
The rapid evolution of sensors and resource-efficient machine learning models has spurred the widespread adoption of wearable fitness tracking devices. Equipped with inertial senso…
Rapid AI-based generation of coverage paths for dispensing applications
Simon Baeuerle, Ian F. Mendonca, Kristof Van Laerhoven +2
Coverage Path Planning of Thermal Interface Materials (TIM) plays a crucial role in the design of power electronics and electronic control units. Up to now, this is done manually b…
Eye-tracking-Driven Shared Control for Robotic Arms: Wizard of Oz Studies to Assess Design Choices
Anke Fischer-Janzen, Thomas M. Wendt, Daniel Görlich +1
Advances in eye-tracking control for assistive robotic arms provide intuitive interaction opportunities for people with physical disabilities. Shared control has gained interest in…
Label Leakage in Federated Inertial-based Human Activity Recognition
Marius Bock, Maximilian Hopp, Kristof Van Laerhoven +1
While prior work has shown that Federated Learning updates can leak sensitive information, label reconstruction attacks, which aim to recover input labels from shared gradients, ha…
DeepConvContext: A Multi-Scale Approach to Timeseries Classification in Human Activity Recognition
Marius Bock, Juergen Gall, Michael Moeller +1
Despite recognized limitations in modeling long-range temporal dependencies, Human Activity Recognition (HAR) has traditionally relied on a sliding window approach to segment label…
Enhancing Wearable Tap Water Audio Detection through Subclass Annotation in the HD-Epic Dataset
Robin Burchard, Kristof Van Laerhoven
Wearable human activity recognition has been shown to benefit from the inclusion of acoustic data, as the sounds around a person often contain valuable context. However, due to pri…
Environment-Aware Indoor LoRaWAN Ranging Using Path Loss Model Inversion and Adaptive RSSI Filtering
Nahshon Mokua Obiri, Kristof Van Laerhoven
Achieving sub-10 m indoor ranging with LoRaWAN is challenging because multipath, human blockage, and micro-climate dynamics induce non-stationary attenuation in received signal str…
A Statistical Evaluation of Indoor LoRaWAN Environment-Aware Propagation for 6G: MLR, ANOVA, and Residual Distribution Analysis
Nahshon Mokua Obiri, Kristof Van Laerhoven
Modeling path loss in indoor LoRaWAN technology deployments is inherently challenging due to structural obstructions, occupant density and activities, and fluctuating environmental…
Users' Perception on Appropriateness of Robotic Coaching Assistant's Disclosure Behaviors
Atikkhan Faridkhan Nilgar, Manuel Dietrich, Kristof Van Laerhoven
Social robots have emerged as valuable contributors to individuals' well-being coaching. Notably, their integration into long-term human coaching trials shows particular promise, e…
Raising the Bar(ometer): Identifying a User's Stair and Lift Usage Through Wearable Sensor Data Analysis
Hrishikesh Balkrishna Karande, Ravikiran Arasur Thippeswamy Shivalingappa, Abdelhafid Nassim Yaici +4
Many users are confronted multiple times daily with the choice of whether to take the stairs or the elevator. Whereas taking the stairs could be beneficial for cardiovascular healt…
Equimetrics -- Applying HAR principles to equestrian activities
Jonas Pöhler, Kristof Van Laerhoven
This paper presents the Equimetrics data capture system. The primary objective is to apply HAR principles to enhance the understanding and optimization of equestrian performance. B…
Multi-modal Atmospheric Sensing to Augment Wearable IMU-Based Hand Washing Detection
Robin Burchard, Kristof Van Laerhoven
Hand washing is a crucial part of personal hygiene. Hand washing detection is a relevant topic for wearable sensing with applications in the medical and professional fields. Hand w…