Difference between revisions of "FaceAnalysisInVideogames"
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|restopic=Affective Computing And BioSignals; | |restopic=Affective Computing And BioSignals; | ||
|start=2012/04/15 | |start=2012/04/15 | ||
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| − | |status= | + | |status=Closed |
|level=Bs | |level=Bs | ||
|type=Thesis | |type=Thesis | ||
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This project, belonging to the Affective VideoGames research line, is aimed at building a model relating facial expressions and head movements of people playing the vidogame TORCS to their preferences among different game settings. 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 and head movements of people playing the vidogame TORCS to their preferences among different game settings. The final aim is to detect from images taken from a camera whether people is enjoying the game experience. | ||
Latest revision as of 22:37, 28 February 2014
Face analysis in Videogames
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| Short Description: | Analysis of the face of people involved in videogames aimed at identifying the elements that could be used as cues for interest and engagement. |
| Coordinator: | AndreaBonarini (andrea.bonarini@polimi.it) |
| Tutor: | AndreaBonarini (andrea.bonarini@polimi.it) |
| Collaborator: | |
| Students: | DavideTosetti (davide.tosetti@mail.polimi.it) |
| Research Area: | Affective Computing |
| Research Topic: | Affective Computing And BioSignals |
| Start: | 2012/04/15 |
| End: | 2014/02/20 |
| Status: | Closed |
| Level: | Bs |
| Type: | Thesis |
This project, belonging to the Affective VideoGames research line, is aimed at building a model relating facial expressions and head movements of people playing the vidogame TORCS to their preferences among different game settings. The final aim is to detect from images taken from a camera whether people is enjoying the game experience.
