S
Sasank Reddy
Researcher at University of California, Los Angeles
Publications - 33
Citations - 4362
Sasank Reddy is an academic researcher from University of California, Los Angeles. The author has contributed to research in topics: Participatory sensing & Mobile phone. The author has an hindex of 25, co-authored 33 publications receiving 4206 citations. Previous affiliations of Sasank Reddy include Georgia Institute of Technology.
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Journal ArticleDOI
Using mobile phones to determine transportation modes
TL;DR: This work creates a convenient (no specific position and orientation setting) classification system that uses a mobile phone with a built-in GPS receiver and an accelerometer to identify the transportation mode of an individual when outside.
Proceedings ArticleDOI
PEIR, the personal environmental impact report, as a platform for participatory sensing systems research
Min Mun,Sasank Reddy,Katie Shilton,Nathan Yau,Jeff Burke,Deborah Estrin,Mark Hansen,Eric J. Howard,Ruth West,Peter Boda +9 more
TL;DR: The running PEIR system is evaluated, which includes mobile handset based GPS location data collection, and server-side processing stages such as HMM-based activity classification (to determine transportation mode); automatic location data segmentation into "trips"; lookup of traffic, weather, and other context data needed by the models; and environmental impact and exposure calculation using efficient implementations of established models.
Book ChapterDOI
Recruitment framework for participatory sensing data collections
TL;DR: Developing a recruitment framework to enable organizers to identify well-suited participants for data collections based on geographic and temporal availability as well as participation habits is discussed.
Participatory sensing - eScholarship
Proceedings ArticleDOI
Image browsing, processing, and clustering for participatory sensing: lessons from a DietSense prototype
TL;DR: ImageScape was designed as an analysis component of DietSense, a software system under development at UCLA to support the use of mobile devices for automatic multimedia documentation of dietary choices with just-in-time annotation, and efficient post facto review of captured media by participants and researchers.