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Practical Course Advanced Networking (Winter 2013/2014): Difference between revisions
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Practical Course Advanced Networking (Winter 2013/2014) (view source)
Revision as of 16:36, 15 October 2013
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|Activity recognition on mobile phones usually requires that the device is carried while activities are conducted (e.g. accelerometer-based). However, it was demonstrated recently that this recognition is feasible also from WiFi RSSI when activities are conducted in proximity of the phone (device-free recognition). | |Activity recognition on mobile phones usually requires that the device is carried while activities are conducted (e.g. accelerometer-based). However, it was demonstrated recently that this recognition is feasible also from WiFi RSSI when activities are conducted in proximity of the phone (device-free recognition). | ||
We will provide a mobile phone and tools to extract RSSI information on the phone and to process the data offline. The team will develop an application that can achieve this processing real-time on the phone and display the recognised activities or gestures. | We will provide a mobile phone and tools to extract RSSI information on the phone and to process the data offline. The team will develop an application that can achieve this processing real-time on the phone and display the recognised activities or gestures. | ||
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| Indoor localisation based on RF-signal strength | |||
| [http://www.stephansigg.de Stephan Sigg] | |||
| [http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6468041] | |||
[http://210.75.252.83/handle/344010/8720?workspace_id=&submitThis=Show+full+item+record&mode=full&page=0&rndComment=0] | |||
[http://www.ettus.com Ettus research (USRP)] | |||
|Indoor positioning still remains a challenging task as GPS does not work indoors and reliable and ubiquitously deployed alternatives are not available. Recenty, localisation techniques based on radio frequency measurements has been proposed. | |||
We will provide USRP software defined radio devices and further required hardware equipment to design an accurate RF-based passive indoor localisation system. | |||
The students will implement an indoor localisation system based on RF signals. | |||
With the implemented prototype, the student team will participate in the Indoor Localisation Competition [http://ipsn.acm.org/2014/content/pdf/IndoorLocation-CFC.pdf] | |||
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