Smartphone-based proximity detection

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About Smartphone-based proximity detection

  • This project has not yet been fulfilled.
  • This project fits in the following Bachelor programs: {{#arraymap:|, |xXx|bachelorproject within::xXx|,}}
  • This project fits in the following masterareas: {{#arraymap:High Performance Distributed Computing, Internet and Web Technology, Parallel and Distributed Computer Systems|, |xXx|project within::xXx|,}}


Imagine an event with many people (potentially thousands), most of them carrying a smartphone. Each smartphone has stored a profile of its owner, and two profiles can be evaluated for their mutual (mis)match. We are interested in measuring the extent that your profile matches that of your immediate neighbors, and that of the group of people as a whole. To this end, we need to do two things: (1) measure the extent of matching, and (2) detect who is in your proximity. This project concentrates on (2) and assumes that we have a solution for (1).

Detecting proximity through smartphones can be done in numerous ways. An obvious solution is to use GPS. But what if GPS is not available? Other solutions like WiFi-based metrics are often too course-grained. Bluetooth may be an alternative, but not everyone is using BT all the time.

The project consists of providing alternative solutions for in-door proximity detection through smartphones, and implementing and testing at least one such solution. Note that proximity detection is generally much easier than location detection (as can be done with GPS): you only need to know who is closeby.