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ElectriSense :

ElectriSense :. Single-Point Sensing Using EMI for Electrical Event Detection and Classification in the Home authors: Gupta, Reynolds, Patel presenter: Gerritsen. Domain: . Activity-inference research. The premise:. Detecting electrical events within the home. Prior work: .

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ElectriSense :

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  1. ElectriSense: Single-Point Sensing Using EMI for Electrical Event Detection and Classification in the Homeauthors:Gupta, Reynolds, Patel presenter: Gerritsen

  2. Domain: Activity-inference research

  3. The premise: Detecting electrical events within the home

  4. Prior work: Resistive and inductive electrical loads make detectable noise. Patel, Robertson, Kientz, Reynolds, Abowd, from UbiComp, 2007

  5. Resistive load: No power inrush. Electric heater. Incandescent bulb. Fan.

  6. Inductive load: Power spike inrush. Motor, e.g., hair dryer. Relay, e.g., electromagnet.

  7. New approach: Detecting switch mode power supplies (SMPS)

  8. SMPS High efficiency devices. LCD monitor. Fluorescent bulb. Awkward new washer.

  9. The basic idea: The harmonics of continuous electromagnetic interference

  10. The basic idea: Specific device signatures

  11. What they did:

  12. Testing: 6 homes, 1 day each Plug in List every appliance Label each device Simulate activity Consistency testing Data storage and output 1 home, 6 months Beep

  13. What they found: K-Nearest Neighbor  average accuracy = 91.75% (Clustering pairs  93.82%)

  14. What they found: Single-instance training  accuracy = 89.25%

  15. What they found: Device signatures consistent

  16. What they found: Device signatures stable over time

  17. How to improve: Signal separation

  18. How to improve: More refined set of classifiers

  19. How to improve: Reduce vigilance

  20. How to improve: Plug into different phases or the 240 V

  21. Last line from the paper: • Our new strategy shows significant promise as a practical, low-cost solution for providing disaggregating electrical information for energy monitoring and ubiquitous computing applications.

  22. Discussion: • Gamification! • Office use • Smart spaces

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