Mun-PersonalEnvironmentalImpactReport

Mun-PersonalEnvironmentalImpactReport - PEIR, the Personal...

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Unformatted text preview: 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 Howard, Ruth West, Pter Boda* Center for Embedded Networked Sensing University of Caliornia, Los Angeles {bobbymun,destrin}@cs.ucla.edu,sasank@ee.ucla.edu,kshilton@ucla.edu, {nyau,cocteau}@stat.ucla.edu, jburke@remap.ucla.edu,{ejhoward,rwest}@cens.ucla.edu Nokia Research Center, Palo Alto* peter.boda@nokia.com ABSTRACT PEIR, the Personal Environmental Impact Report, is a par- ticipatory sensing application that uses location data sam- pled from everyday mobile phones to calculate personalized estimates of environmental impact and exposure. It is an example of an important class of emerging mobile systems that combine the distributed processing capacity of the web with the personal reach of mobile technology. This paper documents and evaluates the running PEIR system, which includes mobile handset based GPS location data collec- tion, 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. Addi- tionally, we describe the user interface components of PEIR and present usage statistics from a two month snapshot of system use. The paper also outlines new algorithmic com- ponents developed based on experience with the system and undergoing testing for integration into PEIR, including: new map-matching and GSM-augmented activity classification techniques, and a selective hiding mechanism that generates believable proxy traces for times a user does not want their real location revealed. Categories and Subject Descriptors H.4.2 [ Information Systems ]: Information Systems Ap- pliations types of systems, decision support ; H.5.2 [ Inform- ation Systems ]: Information Interfaces and Presentation User Interfaces General Terms Design, Performance, Standardization Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. To copy otherwise, to republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. MobiSys09, June 2225, 2009, Krakw, Poland. Copyright 2009 ACM 978-1-60558-566-6/09/06 ...$5.00. Keywords Participatory Sensing, Location Data, Environmental Im- pact and Exposure, Mobile System 1. INTRODUCTION Participatory sensing refers to the vision of distributed data collection and analysis at the personal, urban, and global scale, in which participants make key decisions about what, where, and when to sense [1]. The infrastructurewhat, where, and when to sense [1]....
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Mun-PersonalEnvironmentalImpactReport - PEIR, the Personal...

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