Difference between revisions of "Gestures in Videogames"

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|short_descr=Analysis of gestures and facial expressions of people involved in playing a videogame (TORCS)
 
|short_descr=Analysis of gestures and facial expressions of people involved in playing a videogame (TORCS)
 
|coordinator=AndreaBonarini
 
|coordinator=AndreaBonarini
|tutor=SimoneTognetti; MaurizioGarbarino;
+
|tutor=MatteoMatteucci; MaurizioGarbarino;
|students=GiorgioPrini;
+
|students=GiorgioPrini;  
 
|resarea=Affective Computing
 
|resarea=Affective Computing
 
|restopic=Affective Computing And BioSignals;
 
|restopic=Affective Computing And BioSignals;
 
|start=2010/09/10
 
|start=2010/09/10
|end=2011/3/30
+
|end=2011/03/30
|status=Active
+
|status=Closed
 
|level=Ms
 
|level=Ms
 
|type=Thesis
 
|type=Thesis
 
}}
 
}}
 
This project, belonging to the [[Affective VideoGames]] research line, is aimed at building a model relating facial expressions, gestures, and movements of people playing the vidogame TORCS to their preferences among different game setting. The final aim is to detect from images taken from a camera whether people is enjoying the game experience.
 
This project, belonging to the [[Affective VideoGames]] research line, is aimed at building a model relating facial expressions, gestures, and movements of people playing the vidogame TORCS to their preferences among different game setting. The final aim is to detect from images taken from a camera whether people is enjoying the game experience.

Latest revision as of 17:57, 3 October 2011

Gestures in Videogames
Short Description: Analysis of gestures and facial expressions of people involved in playing a videogame (TORCS)
Coordinator: AndreaBonarini (andrea.bonarini@polimi.it)
Tutor: MatteoMatteucci (matteo.matteucci@polimi.it), MaurizioGarbarino (garbarino@elet.polimi.it)
Collaborator:
Students: GiorgioPrini (giorgio.prini@mail.polimi.it)
Research Area: Affective Computing
Research Topic: Affective Computing And BioSignals
Start: 2010/09/10
End: 2011/03/30
Status: Closed
Level: Ms
Type: Thesis

This project, belonging to the Affective VideoGames research line, is aimed at building a model relating facial expressions, gestures, and movements of people playing the vidogame TORCS to their preferences among different game setting. The final aim is to detect from images taken from a camera whether people is enjoying the game experience.