14 citations · 15 across the 7 of their papers we have counts for
7 papers
RevalExo: A Functional Daily-Activity Benchmark for Inertial and Visual Locomotion Mode Recognition in Older Adults and Clinical Cohorts
Diwas Lamsal, Juha Carlon, Reinhard Claeys +8
Assistive devices for people with mobility impairments, such as powered exoskeletons, rely on accurate locomotion mode recognition to adapt control strategies and provide appropria…
Towards Context-Aware Clinical Motion Understanding in Daily Living at Home: Freezing of Gait Detection with Egocentric Vision
Vayalet Stefanova, Diwas Lamsal, Margot Genbrugge +5
Understanding motion in daily living requires context beyond kinematics, because similar inertial patterns during activities of daily living (ADLs) can reflect intentional stopping…
Generalizable framework of eating episode detection on free-living wrist-worn wearable data
Chunzhuo Wang, Emma De Schuyteneer, Huaidong Du +3
Accurate assessment of eating behavior is essential for understanding and managing conditions such as eating disorders, obesity, and diabetes. Wearable-based food intake detection…
Robust Multimodal Learning Framework For Intake Gesture Detection Using Contactless Radar and Wearable IMU Sensors
Chunzhuo Wang, Hans Hallez, Bart Vanrumste
Automated food intake gesture detection plays a vital role in dietary monitoring, enabling objective and continuous tracking of eating behaviors to support better health outcomes.…
Skeleton-Based Intake Gesture Detection With Spatial-Temporal Graph Convolutional Networks
Chunzhuo Wang, Zhewen Xue, T. Sunil Kumar +3
Overweight and obesity have emerged as widespread societal challenges, frequently linked to unhealthy eating patterns. A promising approach to enhance dietary monitoring in everyda…
Language-Assisted Human Part Motion Learning for Skeleton-Based Temporal Action Segmentation
Bowen Chen, Haoyu Ji, Zhiyong Wang +5
Skeleton-based Temporal Action Segmentation involves the dense action classification of variable-length skeleton sequences. Current approaches primarily apply graph-based networks…
Eating Speed Measurement Using Wrist-Worn IMU Sensors Towards Free-Living Environments
Chunzhuo Wang, T. Sunil Kumar, Walter De Raedt +3
Eating speed is an important indicator that has been widely investigated in nutritional studies. The relationship between eating speed and several intake-related problems such as o…