77 citations · 168 across the 15 of their papers we have counts for
14 papers · 1 filter
Federated Remote Physiological Measurement with Imperfect Data
Xin Liu, Mingchuan Zhang, Ziheng Jiang +2
The growing need for technology that supports remote healthcare is being acutely highlighted by an aging population and the COVID-19 pandemic. In health-related machine learning ap…
Synthetic Data for Multi-Parameter Camera-Based Physiological Sensing
Daniel McDuff, Xin Liu, Javier Hernandez +2
Synthetic data is a powerful tool in training data hungry deep learning algorithms. However, to date, camera-based physiological sensing has not taken full advantage of these techn…
Advancing Non-Contact Vital Sign Measurement using Synthetic Avatars
Daniel McDuff, Javier Hernandez, Erroll Wood +2
Non-contact physiological measurement has the potential to provide low-cost, non-invasive health monitoring. However, machine vision approaches are often limited by the availabilit…
Spectral Synthesis for Satellite-to-Satellite Translation
Thomas Vandal, Daniel McDuff, Weile Wang +2
Earth observing satellites carrying multi-spectral sensors are widely used to monitor the physical and biological states of the atmosphere, land, and oceans. These satellites have…
MetaPhys: Few-Shot Adaptation for Non-Contact Physiological Measurement
Xin Liu, Ziheng Jiang, Josh Fromm +3
There are large individual differences in physiological processes, making designing personalized health sensing algorithms challenging. Existing machine learning systems struggle t…
Do Facial Expressions Predict Ad Sharing? A Large-Scale Observational Study
Daniel McDuff, Jonah Berger
People often share news and information with their social connections, but why do some advertisements get shared more than others? A large-scale test examines whether facial respon…