Pocket bag hand etc automatically detecting phone context through discovery
This presentation is the property of its rightful owner.
Sponsored Links
1 / 14

Pocket, Bag, Hand, etc. - Automatically Detecting Phone Context through Discovery PowerPoint PPT Presentation


  • 71 Views
  • Uploaded on
  • Presentation posted in: General

Pocket, Bag, Hand, etc. - Automatically Detecting Phone Context through Discovery. Emiliano Miluzzoy, Michela Papandreax, Nicholas D. Laney, Hong Luy, Andrew T. Campbelly. Presented by: Lulwah Alkwai. Introduction Discovery Framework Phone Sensing Context Design System Implementation

Download Presentation

Pocket, Bag, Hand, etc. - Automatically Detecting Phone Context through Discovery

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.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -

Presentation Transcript


Pocket bag hand etc automatically detecting phone context through discovery

Pocket, Bag, Hand, etc. - Automatically Detecting PhoneContext through Discovery

  • Emiliano Miluzzoy, Michela Papandreax, Nicholas D. Laney, Hong Luy, Andrew T. Campbelly

Presented by:

Lulwah Alkwai


Pocket bag hand etc automatically detecting phone context through discovery

  • Introduction

  • Discovery Framework

    • Phone Sensing Context

    • Design

    • System Implementation

  • Preliminary System Evaluation

  • Conclusion


Introduction

Introduction

  • What is “phone sensing context”?

  • The position of the phone carried by a person (e.g. in the pocket , hand , backpack , arm , ...) in relation to the event being sensed.

  • It is a fundamental building block for new distributed sensing application built on mobile phones.

  • Observation has grown out of implementation of CenceMe and SoundSense.


Pocket bag hand etc automatically detecting phone context through discovery

  • CenceMe:

  • Is a personal sensing system that enables members of social networks to share their sensing presence with their buddies in a secure manner.


Pocket bag hand etc automatically detecting phone context through discovery

SoundSense:

Top end mobile phones include a number of specialized (e.g., accelerometer, compass, GPS) and general purpose sensors (e.g., microphone, camera) that enable new people-centric sensing applications.


Discovery framework

Discovery Framework

  • Phone sensing Context

  • Design

  • System implementation


Phone sensing context

Phone Sensing Context

  • Accurate

  • Robust

  • Low duty cycle


Design

Design

  • Using the entire suite of sensing modalities available on a mobile phone to provide enough data features for context discovery at low cost and for increased accuracy and robustness.


System implementation

System Implementation

  • Feature selection:

  • 1st-19th: Audio signal classification problems

  • 20th: Power of audio signal/raw audio data

  • 21st,22nd: Mean and standard deviation

  • 23rd: # of times exceeds a certain points

  • Training

  • Predictions


Pocket bag hand etc automatically detecting phone context through discovery

(a) FFT power of an audio clip ,when the phone inside the pocket

(b) FFT power of an audio clip ,when the phone outside the pocket

(c) Count the number of times the FFT power exceeds the threshold


Preliminary system evaluation

Preliminary System Evaluation

  • The result highlight that the audio modality is effective in detecting the in/out of pocket context with reasonable accuracy.

IN/OUT POCKET

A:GMM

B:SVM

C:GMM TRAINING AND EVALUATING INDOOR

D:SVM TRAINING AND EVALUATING OUTDOOR

E:SVM TRAINING AND EVALUATING INDOOR

F:SVM TRAINING OUTDOOR AND EVALUATING INDOOR

G:GMM TRAINING USING ONLY MFCC

H:SVM TRAINING USING ONLY MFCC


Conclusion

Conclusion

  • Initial implementation looks promising , has potential , when implemented in its full form to become a core component of future mobile sensing systems.


Thank you

Thank you


  • Login