| Title |
Obtaining life-status from sensor data |
|
Author
|
Koch, Nikolaj
|
|
Supervisor
|
Petersen, Michael Kai (Intelligent Signal Processing, Department of Informatics and Mathematical Modeling, Technical University of Denmark, DTU, DK-2800 Kgs. Lyngby, Denmark)
Larsen, Jakob Eg (Intelligent Signal Processing, Department of Informatics and Mathematical Modeling, Technical University of Denmark, DTU, DK-2800 Kgs. Lyngby, Denmark)
|
| Institution |
Technical University of Denmark, DTU, DK-2800 Kgs. Lyngby, Denmark |
| Thesis level |
Master's thesis |
| Year |
2009 |
| Abstract |
A Life Status consists of three elements, first where are you, next who are you
together with and last what you are doing. To obtain these three elements,
an application was designed to collect this, using Python for S60 on the
Symbian platform.
The application is designed to run all the time on a mobile phone, collecting information from different sensors. To determine the current place of
the user, it scans for visible wi's and use the GSM cell id. To find out whom
there is around, it scanning for bluetooth devices and sorting all none phone
device out. The activity is predicted on behalf of the place, the calendar
and input from the user.
Different social websites was analyzed, to determine the best site to
share the Life Status. Facebook was selected, because of they offers the best
privacy. It was found important, that not all on the Internet, was able to
read these status updates. They also offer an API there fits the purpose.
The application was tested on different users. None of them had any
problems to figure out, how the application operates. |
| Series |
IMM-M.Sc.-2009-53 |
| Fulltext |
|
| Admin |
Creation date: 2009-08-21
Update date: 2009-08-21
Source: dtu
ID: 248389
Original MXD
|
