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HABITS: A History Aware Based Wi-Fi Indoor Tracking System

HABITS: A History Aware Based Wi-Fi Indoor Tracking System. Eoghan Furey Supervisors: Dr. Kevin Curran, Prof. Paul Mc Kevitt Faculty of Computing and Engineering, University of Ulster, Magee College, Derry. Introduction. Location Aware Computing (LAC) - Academia and Industry

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HABITS: A History Aware Based Wi-Fi Indoor Tracking System

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  1. HABITS:A History Aware Based Wi-Fi Indoor Tracking System Eoghan Furey Supervisors: Dr. Kevin Curran, Prof. Paul Mc KevittFaculty of Computing and Engineering, University of Ulster, Magee College, Derry

  2. Introduction • Location Aware Computing (LAC) - Academia and Industry • Applications – medical, military, logistical and social • Positioning algorithms - period of rapid innovation • Optimize self-location estimates on Wi-Fi enabled devices

  3. Research Objectives • New algorithm - improve location accuracy indoors • PlaceLab software platform - large 802.11 network • Extend the algorithm: • Movement • Multiple floors • Effective Isotropic Radiated Power (EIRP) of the Access Points (AP) • Test - Creative technologies application

  4. Technologies: GPS RFID Ultrasonic Systems Inertia Tracking GSM FM radio Signals 802.11 Wi-Fi Applications: Microsoft's Mappoint Dodgeball (Smith 2005) AT&T mMode’s Friend Finder Location Estimation Approaches

  5. PlaceLab Software Platform PlaceLab (LaMarca et al. 2005) consists of three key elements: • Radio beacons in environment • Databases holding beacon location information • PlaceLab clients - estimate their location from data

  6. PlaceLab Architecture PlaceLab Architecture (LaMarca et al. 2005)

  7. PlaceLab Tracker Hierarchy (LaMarca et al. 2005) PlaceLab mapLoaderGUI interface with wigle.net

  8. No training phase required: Cell ID based Proximity/Closest AP Triangulation Trilateration Training phase required: Centroid Particle Filters Fingerprinting Positioning Algorithms

  9. Effective Isotropic Radiated Power (EIRP) • Tsoulos (1999) defines EIRP as “the radiated power from the antenna referenced to a theoretical point source” • GSM networks – EIRP - median accuracy - 71.3m improvement (Hubrich and Curran 2007)

  10. Project proposal

  11. Predictions based on History of Movement

  12. Software: PlaceLab Eclipse IDE Airmagnet Wi-Fi Analysing Tools Matlab Hardware: Wireless NICs Wi-Fi Access Points Omni directional Antennas Software Analysis

  13. Comparison to other work

  14. Project Schedule

  15. Conclusion • More accurate algorithm for Wi-Fi positioning in indoor environment • History of movement - predict most likely paths traveled by Wi-Fi enabled users • Movement history & EIRP - new method - location estimates • Test in creative technologies software application

  16. Questions

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