3 papers
cs.LG2025
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.…
cs.CV2025
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…
cs.CV2024
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…