4 papers
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.…
AI-assisted Automatic Jump Detection and Height Estimation in Volleyball Using a Waist-worn IMU
Weiyi Xu, Chunzhuo Wang, Meng Shang +4
The physical load of jumps plays a critical role in injury prevention for volleyball players. However, manual video analysis of jump activities is time-intensive and costly, requir…
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…