93 citations · 177 across the 17 of their papers we have counts for
8 papers · 1 filter
Estimating Blood Pressure with a Camera: An Exploratory Study of Ambulatory Patients with Cardiovascular Disease
Theodore Curran, Chengqian Ma, Xin Liu +5
Hypertension is a leading cause of morbidity and mortality worldwide. The ability to diagnose and treat hypertension in the ambulatory population is hindered by limited access and…
Training Robust Deep Physiological Measurement Models with Synthetic Video-based Data
Yuxuan Ou, Yuzhe Zhang, Yuntang Wang +4
Recent advances in supervised deep learning techniques have demonstrated the possibility to remotely measure human physiological vital signs (e.g., photoplethysmograph, heart rate)…
Motion Matters: Neural Motion Transfer for Better Camera Physiological Measurement
Akshay Paruchuri, Xin Liu, Yulu Pan +3
Machine learning models for camera-based physiological measurement can have weak generalization due to a lack of representative training data. Body motion is one of the most signif…
BigSmall: Efficient Multi-Task Learning for Disparate Spatial and Temporal Physiological Measurements
Girish Narayanswamy, Yujia Liu, Yuzhe Yang +4
Understanding of human visual perception has historically inspired the design of computer vision architectures. As an example, perception occurs at different scales both spatially…
MMPD: Multi-Domain Mobile Video Physiology Dataset
Jiankai Tang, Kequan Chen, Yuntao Wang +4
Remote photoplethysmography (rPPG) is an attractive method for noninvasive, convenient and concomitant measurement of physiological vital signals. Public benchmark datasets have se…
MMTSA: Multimodal Temporal Segment Attention Network for Efficient Human Activity Recognition
Ziqi Gao, Yuntao Wang, Jianguo Chen +4
Multimodal sensors provide complementary information to develop accurate machine-learning methods for human activity recognition (HAR), but introduce significantly higher computati…
rPPG-Toolbox: Deep Remote PPG Toolbox
Xin Liu, Girish Narayanswamy, Akshay Paruchuri +7
Camera-based physiological measurement is a fast growing field of computer vision. Remote photoplethysmography (rPPG) utilizes imaging devices (e.g., cameras) to measure the periph…
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…