MIT Libraries logoDSpace@MIT

MIT
View Item 
  • DSpace@MIT Home
  • MIT Libraries
  • MIT Theses
  • Graduate Theses
  • View Item
  • DSpace@MIT Home
  • MIT Libraries
  • MIT Theses
  • Graduate Theses
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

A data analysis system for mobile phone

Author(s)
Lai, Yi-An, M. Eng. Massachusetts Institute of Technology
Thumbnail
DownloadFull printable version (3.774Mb)
Other Contributors
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Advisor
Alex "Sandy" Pentland.
Terms of use
M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582
Metadata
Show full item record
Abstract
This thesis shows the experiment of using the mobile phone application Social Health Tracker to collect participants' mobile phone data and survey answers regarding their social, physical activity and mental concentration level. It also shows the design and the implementation of a Data Analysis System that provides automation for generating Relationship Graphs of the mobile phone data and the survey answers. The system can be broken into three parts. The system first takes the raw data that are in CVS format to generate Probe Data Packages, which are the data from the mobile phone, and the Survey Data Packages, which are the data from survey answers. The system then takes each of the Probe Data Packages and their corresponding Survey Data Package to generate Formatted Data, which will be further used to create Relationship Graphs. Multiple Relationship Graphs have been generated to demonstrate the results of the experiment and the feasibility of the system from the development perspectives.
Description
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2014.
 
Cataloged from PDF version of thesis.
 
Includes bibliographical references (pages 46-47).
 
Date issued
2014
URI
http://hdl.handle.net/1721.1/100665
Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Publisher
Massachusetts Institute of Technology
Keywords
Electrical Engineering and Computer Science.

Collections
  • Graduate Theses

Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

My Account

Login

Statistics

OA StatisticsStatistics by CountryStatistics by Department
MIT Libraries
PrivacyPermissionsAccessibilityContact us
MIT
Content created by the MIT Libraries, CC BY-NC unless otherwise noted. Notify us about copyright concerns.