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Eric C. Larson
Researcher at Southern Methodist University
Publications - 78
Citations - 4205
Eric C. Larson is an academic researcher from Southern Methodist University. The author has contributed to research in topics: Deep learning & Computer science. The author has an hindex of 21, co-authored 74 publications receiving 3481 citations. Previous affiliations of Eric C. Larson include Oklahoma State University–Stillwater & University of Washington.
Papers
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Journal ArticleDOI
Most apparent distortion: full-reference image quality assessment and the role of strategy
Eric C. Larson,Damon M. Chandler +1 more
TL;DR: A quality assessment method [most apparent distortion (MAD)], which attempts to explicitly model these two separate strategies, local luminance and contrast masking and changes in the local statistics of spatial-frequency components are used to estimate appearance-based perceived distortion in low-quality images.
Journal ArticleDOI
Disaggregated End-Use Energy Sensing for the Smart Grid
Jon E. Froehlich,Eric C. Larson,Sidhant Gupta,Gabe Cohn,Matthew S. Reynolds,Shwetak N. Patel +5 more
TL;DR: Signal features that might be used to sense disaggregated data in an easily installed and cost-effective manner for energy-consumption data are highlighted.
Proceedings ArticleDOI
SpiroSmart: using a microphone to measure lung function on a mobile phone
Eric C. Larson,Mayank Goel,Gaetano Boriello,Sonya L. Heltshe,Margaret Rosenfeld,Shwetak N. Patel +5 more
TL;DR: SpiroSmart, a low-cost mobile phone application that performs spirometry sensing using the built-in microphone, is presented and it is shown that pulmonologists can use SpiroSmart to diagnose varying degrees of obstructive lung ailments.
Proceedings ArticleDOI
Accurate and privacy preserving cough sensing using a low-cost microphone
TL;DR: A novel algorithm for detecting coughs from the audio stream of a mobile phone that allows cough sounds to be reconstructed from the feature set, but prevents speech from being reconstructed intelligibly.
Proceedings ArticleDOI
HydroSense: infrastructure-mediated single-point sensing of whole-home water activity
TL;DR: HydSense is presented, a low-cost and easily-installed single-point sensor of pressure within a home's water infrastructure that supports both identification of activity at individual water fixtures within aHome as well as estimation of the amount of water being used at each fixture.