Difference between revisions of "FaceAnalysisInVideogames"
From AIRWiki
(Created page with "{{Project |title=Face analysis in Videogames |image= |short_descr=Analysis of the face of people involved in videogames aimed at identifying the elements that could be used as...") |
m |
||
| Line 6: | Line 6: | ||
|tutor=AndreaBonarini | |tutor=AndreaBonarini | ||
|collaborator= | |collaborator= | ||
| − | |students=DavideTosetti | + | |students=DavideTosetti; |
| − | |resarea= | + | |resarea=Affective Computing |
| − | |restopic= | + | |restopic=Affective Computing And BioSignals; |
|start=2012/04/15 | |start=2012/04/15 | ||
|end=2012/09/30 | |end=2012/09/30 | ||
| Line 15: | Line 15: | ||
|type=Thesis | |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. | ||
Revision as of 13:27, 16 April 2012
Face analysis in Videogames
| |
| 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: | 2012/09/30 |
| Status: | Active |
| 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.