Thesis Topic Details
Topic ID: |
3425 | |
Title: |
Indoor localisation using smartphones | |
Supervisor: |
Chun Tung Chou | |
Research Area: |
Pervasive computing | |
| Associated Staff | ||
|---|---|---|
Assessor: |
Mahbub Hassan | |
| Topic Details | ||
Status: |
Active | |
Type: |
R & D | |
Programs: |
CS CE SE | |
Group Suitable: |
Yes | |
Industrial: |
No | |
Pre-requisites: |
Programming skills. Knowledge of statistics, probability and/or machine learning is a plus. | |
Description: |
Today's smartphones have a lot sensors, accelerometers, gyroscope, magentometers etc. The aim of this project is to leverage these sensors to determine the position of the people in an indoor environment. | |
Comments: |
-- | |
| Past Student Reports | ||
| No Reports Available. Contact the supervisor for more information.
Check out all available reports in the CSE Thesis Report Library. NOTE: only current CSE students can login to view and select reports to download. |
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