Difference between revisions of "FaDe"
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| − | + | {{Project | |
| + | |title=FaDE | ||
| + | |coordinator=AndreaBonarini | ||
| + | |students=GiorgioLuparia | ||
| + | |resarea=Affective Computing | ||
| + | |restopic=Emotion from Interaction | ||
| + | |start=2007/04/08 | ||
| + | |end=2008/12/22 | ||
| + | |status=Closed | ||
| + | |level=Bs | ||
| + | |type=Thesis | ||
| + | }} | ||
=== Project short description === | === Project short description === | ||
| − | Fatigue Detection is a | + | Fatigue Detection is a project in the [[Emotion from Interaction]] topic. It is aimed at calculating user's tiredness without invasive instruments, analyzing keyboard and mouse use. |
| − | + | [[User:GiorgioLuparia|Giorgio Luparia]] has produced a Java class library to obtain the array of features to describe user's behavior while using the keyboard and the mouse. | |
| − | + | ||
| − | [[User:GiorgioLuparia|Giorgio Luparia]] | + | |
At the moment, a working logger for Windows is ready. Please download it from [http://airwiki.elet.polimi.it/mediawiki/index.php/Image:FaDe_Raccolta_dati.zip HERE]. | At the moment, a working logger for Windows is ready. Please download it from [http://airwiki.elet.polimi.it/mediawiki/index.php/Image:FaDe_Raccolta_dati.zip HERE]. | ||
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You can download the library sources from [http://airwiki.elet.polimi.it/mediawiki/images/8/8e/FaDe.zip HERE]. | You can download the library sources from [http://airwiki.elet.polimi.it/mediawiki/images/8/8e/FaDe.zip HERE]. | ||
| + | |||
| + | The instructions to use the library can be found [http://airwiki.elet.polimi.it/mediawiki/images/f/f5/Javadoc.zip HERE] as Javadoc. Just open the index.html file. | ||
Latest revision as of 16:57, 3 October 2011
FaDE
| |
| Coordinator: | AndreaBonarini (andrea.bonarini@polimi.it) |
| Tutor: | |
| Collaborator: | |
| Students: | GiorgioLuparia () |
| Research Area: | Affective Computing |
| Research Topic: | Emotion from Interaction |
| Start: | 2007/04/08 |
| End: | 2008/12/22 |
| Status: | Closed |
| Level: | Bs |
| Type: | Thesis |
Project short description
Fatigue Detection is a project in the Emotion from Interaction topic. It is aimed at calculating user's tiredness without invasive instruments, analyzing keyboard and mouse use. Giorgio Luparia has produced a Java class library to obtain the array of features to describe user's behavior while using the keyboard and the mouse.
At the moment, a working logger for Windows is ready. Please download it from HERE. The usage is simple. Just unzip it, double click the RUN file. It will log for 30 minutes and then ask for a self-evaluation of the state of tiredness, from 1 to 10. It will then save a logfile for every session to a DATA directory. This directory is the one you are supposed to send as a feedback. Thank you!
You can download the library sources from HERE.
The instructions to use the library can be found HERE as Javadoc. Just open the index.html file.
