16 papers
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 --…
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…
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…
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…
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.…