93 citations · 177 across the 17 of their papers we have counts for
17 papers
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…
Demographic Bias of Expert-Level Vision-Language Foundation Models in Medical Imaging
Yuzhe Yang, Yujia Liu, Xin Liu +6
Advances in artificial intelligence (AI) have achieved expert-level performance in medical imaging applications. Notably, self-supervised vision-language foundation models can dete…
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)…
Recyclable vitrimer-based printed circuit board for circular electronics
Zhihan Zhang, Agni K. Biswal, Ankush Nandi +6
Electronics are integral to modern life; however, at their end-of-life these devices produce environmentally hazardous electronic waste (e-waste). Recycling the ubiquitous printed…
Exploring and Characterizing Large Language Models For Embedded System Development and Debugging
Zachary Englhardt, Richard Li, Dilini Nissanka +6
Large language models (LLMs) have shown remarkable abilities to generate code, however their ability to develop software for embedded systems, which requires cross-domain knowledge…
Large Language Models are Few-Shot Health Learners
Xin Liu, Daniel McDuff, Geza Kovacs +7
Large language models (LLMs) can capture rich representations of concepts that are useful for real-world tasks. However, language alone is limited. While existing LLMs excel at tex…
EarCough: Enabling Continuous Subject Cough Event Detection on Hearables
Xiyuxing Zhang, Yuntao Wang, Jingru Zhang +3
Cough monitoring can enable new individual pulmonary health applications. Subject cough event detection is the foundation for continuous cough monitoring. Recently, the rapid growt…
Modeling the Trade-off of Privacy Preservation and Activity Recognition on Low-Resolution Images
Yuntao Wang, Zirui Cheng, Xin Yi +7
A computer vision system using low-resolution image sensors can provide intelligent services (e.g., activity recognition) but preserve unnecessary visual privacy information from t…
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…
Wireless earbuds for low-cost hearing screening
Justin Chan, Antonio Glenn, Malek Itani +5
We present the first wireless earbud hardware that can perform hearing screening by detecting otoacoustic emissions. The conventional wisdom has been that detecting otoacoustic emi…
GLOBEM Dataset: Multi-Year Datasets for Longitudinal Human Behavior Modeling Generalization
Xuhai Xu, Han Zhang, Yasaman Sefidgar +13
Recent research has demonstrated the capability of behavior signals captured by smartphones and wearables for longitudinal behavior modeling. However, there is a lack of a comprehe…
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…
SpiroMask: Measuring Lung Function Using Consumer-Grade Masks
Rishiraj Adhikary, Dhruvi Lodhavia, Chris Francis +7
According to the World Health Organisation (WHO), 235 million people suffer from respiratory illnesses and four million people die annually due to air pollution. Regular lung healt…