2 citations · 2 across the 2 of their papers we have counts for
3 papers
MorphCL: Morphological Contrastive Learning for Inertial-based Human Activity Recognition
Marius Bock, Yuwei Zhang, Juergen Gall +3
Despite the ubiquity of sensors in wearable and mobile devices and the abundance of human movement data they generate, translating unlabeled recordings into foundational motion mod…
Weak-Annotation of HAR Datasets using Vision Foundation Models
Marius Bock, Kristof Van Laerhoven, Michael Moeller
As wearable-based data annotation remains, to date, a tedious, time-consuming task requiring researchers to dedicate substantial time, benchmark datasets within the field of Human…
Temporal Action Localization for Inertial-based Human Activity Recognition
Marius Bock, Michael Moeller, Kristof Van Laerhoven
As of today, state-of-the-art activity recognition from wearable sensors relies on algorithms being trained to classify fixed windows of data. In contrast, video-based Human Activi…