7 papers
RETRACE: Resilience-Guided Trait-Conditioned Craving Estimation from Wearable Physiology in Opioid Use Disorder
Yi Xiao, Harshit Sharma, Dessa Bergen-Cico +1
Detecting opioid craving from wearable physiological signals is critical yet difficult, with the potential to support proactive interventions for individuals with opioid use disord…
Ethical Fairness in Ubiquitous Health Sensing without Known Attributes
Shaily Roy, Harshit Sharma, Daniel A. Adler +3
In ubiquitous and mobile health systems, computational models infer human states from wearable, behavioral, and physiological sensing data. In these settings, high accuracy alone i…
CurvFed: Curvature-Aligned Federated Learning for Fairness without Demographics
Harshit Sharma, Shaily Roy, Asif Salekin
Modern human sensing applications often rely on data distributed across users and devices, where privacy concerns prevent centralized training. Federated Learning (FL) addresses th…
UnIT: Scalable Unstructured Inference-Time Pruning for MAC-efficient Neural Inference on MCUs
Ashe Neth, Sawinder kaur, Mohammad Nur Hossain Khan +3
Existing pruning methods are typically applied during training or compile time and often rely on structured sparsity. While compatible with low-power microcontrollers (MCUs), struc…
Human Heterogeneity Invariant Stress Sensing
Yi Xiao, Harshit Sharma, Sawinder Kaur +2
Stress affects physical and mental health, and wearable devices have been widely used to detect daily stress through physiological signals. However, these signals vary due to facto…
CRoP: Context-wise Robust Static Human-Sensing Personalization
Sawinder Kaur, Avery Gump, Yi Xiao +5
The advancement in deep learning and internet-of-things have led to diverse human sensing applications. However, distinct patterns in human sensing, influenced by various factors o…