Place Lab: Bootstrapping Location-Enhanced Computing Anthony LaMarca Yatin Chawathe, Sunny Consolvo Jeffrey Hightower, James Scott, Ian Smith.

Slides:



Advertisements
Similar presentations
How to Grade Wikis Ways to look for and grade evidence of collaboration & build strong partnerships.
Advertisements

1 Leveraging Your Existing Campus Systems to Access Resource Partners: Federated Identity Management and Tales of Campus Participation EDUCAUSE 2006 October.
The Cricket Compass for Context-Aware Mobile Applications Nissanka B. Priyantha.
Technology Behind Location Awareness CST 594- Mobile Computing Team members Agastheswar Suribhatla Eshwari Mente.
Integrating Official Statistics and Geospatial Information : Issues and Challenges.
Tracking Stolen Bikes through Everyday Mobile Phones and Participatory Sensing Ted Tsung-Te Lai Chun-Yi Lin Ya-Yunn Su Hao-Hua Chu National Taiwan University.
Accuracy Characterization for Metropolitan-scale Wi-Fi Localization Yu-Chung Cheng (UCSD, Intel Research) Yatin Chawathe (Intel Research) Anthony LaMarca.
ACCURACY CHARACTERIZATION FOR METROPOLITAN-SCALE WI-FI LOCALIZATION Presented by Jack Li March 5, 2009.
Accuracy Characterization for Metropolitan-scale Wi-Fi Localization Ying Wang, Xia Li Ying Wang, Xia Li.
A Hybrid Model of Context-aware Service Provisioning Implemented on Smart Phones International Conference on Pervasive Services th June 2006.
Karl Aberer, Saket Sathe, Dipanjan Charkaborty, Alcherio Martinoli, Guillermo Barrenetxea, Boi Faltings, Lothar Thiele EPFL, IBM Research India, ETHZ.
Decentralized Coordination in Emergency Management Situations Silvia Nittel Spatial Information Science & Engineering University of Maine, USA.
Secure Space: Location-based Secure Wireless Group Communication Arunesh Mishra, Suman Banerjee Department of Computer Science, University of Maryland,
A Wireless Spectrum Analyzer in Your Pocket
1 A study on Location Aware Computing Presenter : Narendiran Visvanathan Instructor : Dr. Chin-Chih Chang Course : CS 898T Mobile and Wireless Networks.
Putting People in their Places An Anonymous and Privacy-Sensitive Approach to Collecting Sensed Data in Location-Based Applications Karen P. Tang Pedram.
Supporting Mobile Sensors and Typed Data Exchange Through the JXTA p2p Framework Supporting Mobile Sensors and Typed Data Exchange Through the JXTA p2p.
Final Year Project LYU0301 Location-Based Services Using GSM Cell Information over Symbian OS Mok Ming Fai CEG Lee Kwok Chau CEG
Learning the meaning of places IfGi Location based Services SS 06 Milad Sabersamandari.
APPLAUS: A Privacy-Preserving Location Proof Updating System for Location-based Services Zhichao Zhu and Guohong Cao Department of Computer Science and.
Indoors Navigation system Or How do I get to … Yoav Etsion & Tal Haramaty PostPC Computing 2002 Prof. Scott Kirkpatrick & Amnon Dekel.
Android An open handset alliance project Janice Garcia September 18, 2008 MIS 304.
By: Matthew Follett. Introduction  A Wireless local area network (WLAN) links two or more devices using some wireless distribution method and usually.
Impact of “Cloud Content” and “Relevant Location” on Geospatial Industry World Geospatial Forum Dimensions and Directions of Geospatial Industry Kanwar.
Location Based Services Codes of Practice and Converging Locating Technologies TrackaPhone Ltd
Smart Environments for Occupancy Sensing and Services Paper by Pirttikangas, Tobe, and Thepvilojanapong Presented by Alan Kelly December 7, 2011.
Ambulation : a tool for monitoring mobility over time using mobile phones Computational Science and Engineering, CSE '09. International Conference.
Best Practices in Deploying a PKI Solution BIEN Nguyen Thanh Product Consultant – M.Tech Vietnam
SMART BUILDING Yousef Awwad Te-Yuan Huang Newlin Rajkumar Group No.11.
Copyright © 2005, SAS Institute Inc. All rights reserved. SAS ABM Survey Kit A Sample Usage Scenario: Collecting Group Assignment Values.
UNDER THE GUIDANCE OF MR. S.K. DANI (SDE) SUBMITTED BY:
Topiary: A Tool for Prototyping Location-Enhanced Applications Yang Li, Jason I. Hong, James A. Landay, Presented by Daniel Schulman.
Christian Le, Intel (Rahul Khanna, Intel and Huaping Liu, OSU)
The MobiSoC Middleware for Mobile Social Computing Cristian Borcea, Ankur Gupta, Achir Kalra, Quentin Jones, Liviu Iftode* Department of Computer Science.
Opportunities for Mobile Enhanced Library Services and Collections Tito Sierra, NCSU Libraries JHU Libraries Assembly May 21, 2010.
Home Lab: Shared Infrastructure for Home Technology Field Studies A.J. BrushJaeyeon JungRatul MahajanJames Scott.
NEARBY: HYBRID NETWORK MOBILE APPLICATION Shuai Zhang, Ziwen Zhang, Jikai Yin.
Converged Service A Dartmouth Perspective Bob Johnson.
References: [1] [2] [3] Acknowledgments:
Interference Cancellation as a Mobile Enhancement to Improve Spectral Efficiency IEEE ComSoc Denver Chapter January 16, 2007.
X-Internet COMS E Web-enHanced Information Management Hyun Min Lee
Department of Information Engineering The Chinese University of Hong Kong A Framework for Monitoring and Measuring a Large-Scale Distributed System in.
Hiding in the Mobile Crowd: Location Privacy through Collaboration.
Personal Server Model for Real-Space Networking Shirou WAKAYAMA KEIO University Japan.
Accuracy Characterization for Metropolitan-scale Wi-Fi Localization Yu-Chung Cheng (UCSD, Intel Research) Yatin Chawathe (Intel Research) Anthony LaMarca.
Polygons, Matrices and the Future of Information Integration Paul Cheung Director, United Nations Statistics Division GGIM Secretariat.
Mobile Financial Services Olivier Cognet, Head of Business Development Corporate Development Office.
1 CENS is comprised mostly of Computer Science and Electrical Engineering faculty and graduate students, collaboratively developing: Technologies (hardware.
1 Distribution Statement “A” (Approved for Public Release, Distribution Unlimited)5/15/2012 Advanced Radio Frequency Mapping (RadioMap) Dr. John Chapin.
Mobile and Location-Based Services Jason I. Hong Product Design and Usability April
Microsoft Research Faculty Summit Liqian Luo Networked Embedded Computing Microsoft Research.
Participatory Privacy: Enabling Privacy in Participatory Sensing
1.Research Motivation 2.Existing Techniques 3.Proposed Technique 4.Limitations 5.Conclusion.
Viral Communications Viral Comms WG: The Viral Community David P. Reed Andy Lippman May, 2007.
April 26, 2005Location Awareness Infrastructure at Virginia Tech Using Place Lab 1 Location Awareness at VT Using Place Lab Triiip Bowen Tim Buennemeyer.
Local Positioning System
Privacy-Preserving and Content-Protecting Location Based Queries.
Leveraging Campus Authentication to Access the TeraGrid Scott Lathrop, Argonne National Lab Tom Barton, U Chicago.
Mohit Gupta, Prashanth Mohan, Lenin Ravindranath.
1 Wireless Trondheim Living Lab 25/ John Krogstie.
A Case Study in Building Layered DHT Applications
“An Eye View On the Future Generation Of Phones”
Mobile and Pervasive Computing - 4 Location in Pervasive Computing
Wireless Local Area Network (WLAN)
WLAN Communication Network
Scooter Willis & Sumi Helal
Location Sensing (Inference)
Beacon Types Beacon Type Granularity Beacon coverage Tech Rollout
Blockchain Technology and IoT Security Andy Wang March 21, 2018
Mobile World Congress Americas| 13 September 2018
Presentation transcript:

Place Lab: Bootstrapping Location-Enhanced Computing Anthony LaMarca Yatin Chawathe, Sunny Consolvo Jeffrey Hightower, James Scott, Ian Smith

2 The Goal of Place Lab Enable widely available location- enhanced computing Build a positioning system that is – Wide-scale, indoor & outdoor Can be used everywhere – Privacy observant, low barrier to participation Can be used by everyone I am here

3 How does it work? We exploit wide-scale WiFi deployment – Urban areas have dense WiFi coverage – WiFi base stations broadcast unique IDs – Position WiFi devices using map of base- station-IDs to location

4 Where is the data coming from? Build a global user-contributed RF- location mapping service – Leverage “war drivers” and WiFi clubs – Collect trace logs of regular users

5 Demo

6 J2ME / Java 1.3 Many supported platforms Coming soon to a phone near you Version 1.1 available at Place Lab: The Toolkit

7 Place Lab: The Research Project Location sensing technologies – Using radio beacons for positioning Distributed Systems – Building large-scale user- contributed dataset Privacy and trust – Making location-based systems compelling and safe for users

8 Place Lab Users UCSD’s Active Campus Project Trinity College, Dublin University of Washington CSE GUIR’s Topiary Kelvin Institute

9 Conclusion Opportunities for collaborations – User interfaces & privacy models/mechanisms – Development of location-enhanced applications and services Place Lab is a indoor/outdoor WiFi-based positioning system with a low barrier to participation

10 Thank You! Questions?