3 papers
cs.LG2026
Learning Human Health and Diseases from 24-hour Wrist Movement
Yong Wang, Dylan McGagh, Katya Broomberg +21
Much of human health and function unfolds beyond the clinic, through the movements of everyday life. Wrist-worn accelerometers capture these movements continuously, yet their rich…
eess.SP2026
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…
cs.CV2025
Reducing Annotation Burden in Physical Activity Research Using Vision-Language Models
Abram Schonfeldt, Benjamin Maylor, Xiaofang Chen +2
Introduction: Data from wearable devices collected in free-living settings, and labelled with physical activity behaviours compatible with health research, are essential for both v…