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cs.LG2026
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…
cs.LG2026
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 --…