4 citations · 6 across the 5 of their papers we have counts for
5 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 --…
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…
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…
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…