1 / 33

Detecting Driver Phone Use Leveraging Car Speakers

Detecting Driver Phone Use Leveraging Car Speakers. Jie Yang, Simon Sidhom , Gayathri Chandrasekaran , Tam Vu, Hongbo Liu, Nicolae Cecan , Yingying Chen, Marco Gruteser , Richard P. Martin MobiCom 2011 - Sowhat 2011.10.24. Outline. Introduction System design Experiment Results

farica
Download Presentation

Detecting Driver Phone Use Leveraging Car Speakers

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Detecting Driver Phone Use Leveraging Car Speakers Jie Yang, Simon Sidhom, GayathriChandrasekaran, Tam Vu, Hongbo Liu, NicolaeCecan, Yingying Chen, Marco Gruteser, Richard P. Martin MobiCom 2011 - Sowhat 2011.10.24

  2. Outline • Introduction • System design • Experiment • Results • Conclusion • Discussion

  3. Outline • Introduction • System design • Experiment • Results • Conclusion • Discussion

  4. IntroductionMotivation • Cell Phone Distraction • Hands-free Phone Operation Driver? Passenger? • Driving Mode • Route incoming calls to voicemail • Delay incoming text notification

  5. IntroductionObjective • Classify phone use @ which seat • Bluetooth + Audio infrastructure

  6. IntroductionChallenges • Unobtrusiveness • Robustness to Noise and Multipath • Computational Feasibility

  7. Outline • Introduction • System design • Experiment • Results • Conclusion • Discussion

  8. System DesignOverview Acoustic Relative-Ranging System Avoid Interfere Distinguish speakers

  9. System DesignRelative Ranging

  10. System DesignBeep Signal Unobtrusiveness • Frequency • Android developer phone 2 – 16~18kHz • iPhone 3G – 18~20kHz • Length – 10ms Robustness to Noise

  11. System DesignProcessing

  12. System DesignDetect Beep • Sequential change-point detection • : sequence of recorded audio signal • Requirement: known distribution • Cumulative sum • μ : mean value of noise from t0 to t1, time of transmitting • > Threshold for W samples

  13. System DesignProcessing

  14. System DesignClassification • 2-channel • > -5 • 4-channel • if  Front Check • Else  Back Check

  15. Outline • Introduction • System design • Experiment • Results • Conclusion • Discussion

  16. ExperimentPhones& Cars • Phones • Android Developer Phone 2, Phone I • iPhone 3G, Phone II • Cars • Honda Civic Si Coupe, Car I • Acura Sedan, Car II • 2 channel sound system with fader system

  17. ExperimentProcedure • Create Beep • 4 beep audio files, • For { Phone I, Phone II } x { 2 channel, 4 channel } • Each file with 4 beeps for each channel • Create uniformly distributed white noise  Bandpass filter {16~18, 18~20} kHz • Transmit • Laptop to car’s head unit via Bluetooth • Record • Audio recorder app. on phone for offline analysis

  18. ExperimentScenarios Phone I, Car I

  19. ExperimentScenarios Phone II, Car II

  20. ExperimentScenarios • Phone I, Car I @ 60 MPH Highway

  21. Outline • Introduction • System design • Experiment • Results • Conclusion • Discussion

  22. ResultsMetrics • Accuracy • Detection Rate • False Positive Rate • Measurement Error

  23. ResultsDriver vs. Passenger 2-Channel is OK

  24. ResultsPosition Accuracy

  25. ResultsLeft vs. Right

  26. ResultsFront vs. Back

  27. ResultsRelative Ranging

  28. ResultsComputational Complexity • Filtering, Short-time Fourier transform • n recorded samples, moving window size • After filtering, • Average processing time • 0.5s for 2-channel • 1s for 4-channel

  29. Outline • Introduction • System design • Experiment • Results • Conclusion • Discussion

  30. Conclusion • Driver mobile phone use detection system • Leverage existing infrastructure of car speaker for ranging via Bluetooth • Acoustic relative-ranging • Over 90% detection rate

  31. Outline • Introduction • System design • Experiment • Results • Conclusion • Discussion

  32. Discussion • Strengthens • Clear motivation, system design description • Real implement • Weakness • Different setting for different hardware  not comparable • How to set calibration value

  33. Thanks for Listening ~

More Related