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Indoor Localization using WiFi & accelerometers

Indoor Localization using WiFi & accelerometers. Pranav Shah Prof. Claire Tomlin UC Berkeley. Opportunity for Wireless Sensing. Significant wiring & installation costs Low spatial density of sensing Suboptimal operation. Mobile Sensing. Multiple integrated sensors Gesture recognition

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Indoor Localization using WiFi & accelerometers

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  1. Indoor Localization using WiFi & accelerometers Pranav Shah Prof. Claire Tomlin UC Berkeley

  2. Opportunity for Wireless Sensing • Significant wiring & installation costs • Low spatial density of sensing • Suboptimal operation

  3. Mobile Sensing • Multiple integrated sensors • Gesture recognition • Opportunity-Distributed sensing • Accelerometers – Position • Ambient light – Lighting control

  4. Position estimation - Setup • Hallway – 21 locations, 11 access points (APs) • Signal strength vector at each location,

  5. Bayes rule – Training • Training • Multiple scans at each location • Identify and V

  6. Bayes rule - Estimation known

  7. Position Estimation- Gaussian process • Accuracy: 3.5-4m

  8. Use of accelerometer • Predictor corrector architecture • Predictor • Corrector • WiFi scan done and position measurement y(k+1)

  9. Accelerometer – WiFi results • Only accelerometer – inaccurate estimate • WiFi scan every 3 time steps

  10. Future Work • Use of orientation sensors – • Analysis of energy consumption by various sensors • Verification of assumptions on posterior distribution and Bayes filter implementation • Activity recognition on phones

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