E
Edmund Seto
Researcher at University of Washington
Publications - 205
Citations - 7626
Edmund Seto is an academic researcher from University of Washington. The author has contributed to research in topics: Population & Air quality index. The author has an hindex of 43, co-authored 190 publications receiving 6136 citations. Previous affiliations of Edmund Seto include University of California, Berkeley & Washington Department of Ecology.
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Proceedings ArticleDOI
Accuracy and robustness of Kinect pose estimation in the context of coaching of elderly population
Stepan Obdrzalek,Gregorij Kurillo,Ferda Ofli,Ruzena Bajcsy,Edmund Seto,Holly Jimison,Michael Pavel +6 more
TL;DR: This paper compares the Kinect pose estimation (skeletonization) with more established techniques for pose estimation from motion capture data, examining the accuracy of joint localization and robustness of pose estimation with respect to the orientation and occlusions.
Journal ArticleDOI
An area-level model of vehicle-pedestrian injury collisions with implications for land use and transportation planning
TL;DR: The development of a multivariate, area-level regression model of vehicle-pedestrian injury collisions based on environmental and population data in 176 San Francisco, California census tracts is described.
Journal ArticleDOI
A study of community design, greenness and physical activity in children using satellite, GPS and accelerometer data
TL;DR: An epoch-level analysis found momentary greenness exposure was positively associated with the likelihood of contemporaneous moderate-to-vigorous physical activity (MVPA) and this association was stronger for smart growth residents who experienced a 39% increase in odds of MVPA.
Journal ArticleDOI
Air pollution and incidence of hypertension and diabetes mellitus in black women living in Los Angeles.
Patricia F. Coogan,Laura F. White,Michael Jerrett,Robert D. Brook,Jason Su,Edmund Seto,Richard T. Burnett,Julie R. Palmer,Lynn Rosenberg +8 more
TL;DR: Exposure to air pollutants, especially traffic-related pollutants, may increase the risk of type 2 diabetes mellitus and possibly of hypertension.
Journal ArticleDOI
A distributed network of low-cost continuous reading sensors to measure spatiotemporal variations of PM2.5 in Xi'an, China.
TL;DR: This study tests the performance of a low-cost sensor in high concentration urban environments in Xi'an, China and finds that the PUWP monitors were able to identify the High-technology Zone site as a potential PM2.5 hotspot with sustained high concentrations compared to the city average throughout the day.