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Practical Course Advanced Networking (Winter 2014/2015): Difference between revisions
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Practical Course Advanced Networking (Winter 2014/2015) (view source)
Revision as of 14:34, 19 September 2014
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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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| Gesture and activity recognition from 2G/3G RSSI | |||
| [http://www.stephansigg.de Stephan Sigg] | |||
| [http://www.stephansigg.de/stephan/paper/ControlYourPhone.pdf] | |||
|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). | |||
In this project, students will develop an application to utilise 2G/3G signals for activity recognition. | |||
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