2 code implementations • 2 Sep 2022 • Joel Stremmel, Brian L. Hill, Jeffrey Hertzberg, Jaime Murillo, Llewelyn Allotey, Eran Halperin
While Transformer language models (LMs) are state-of-the-art for information extraction, long text introduces computational challenges requiring suboptimal preprocessing steps or alternative model architectures.
2 code implementations • 8 Jun 2022 • Daniel McDuff, Miah Wander, Xin Liu, Brian L. Hill, Javier Hernandez, Jonathan Lester, Tadas Baltrusaitis
The use of cameras and computational algorithms for noninvasive, low-cost and scalable measurement of physiological (e. g., cardiac and pulmonary) vital signs is very attractive.
no code implementations • 9 Oct 2021 • Xin Liu, Brian L. Hill, Ziheng Jiang, Shwetak Patel, Daniel McDuff
Camera-based physiological measurement is a growing field with neural models providing state-the-art-performance.
Face Detection Photoplethysmography (PPG) heart rate estimation
no code implementations • 7 Oct 2021 • Brian L. Hill, Xin Liu, Daniel McDuff
Recent developments in camera-based vital sign measurement have shown that cardiac measurements can be recovered with impressive accuracy from videos; however, most of the research has focused on extracting summary statistics such as heart rate.
no code implementations • 29 Sep 2021 • Xin Liu, Brian L. Hill, Ziheng Jiang, Shwetak Patel, Daniel McDuff
Camera-based physiological measurement is a growing field with neural models providing state-the-art-performance.