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http://hdl.handle.net/1942/15701
Title: | Do you like my TV show? | Authors: | Vanmeert, Dries | Advisors: | VAN DEN BERGH, Jan | Issue Date: | 2013 | Publisher: | tUL | Abstract: | Nowadays people do several side activities while watching television. They use several devices, like smartphones, laptops and tablets, or they eat or read a magazine. It is interesting for broadcasters or television manufacturers to investigate whether people's postures and behaviour show how they feel about what is on TV. In this master thesis we will present a method for detecting people's body postures while watching TV. This system is called AffecTV. We investigated if these postures are related to specific affections and activities. We use a depth camera to detect sitting postures. To train AffecTV and to evaluate its accuracy, we have performed a pre-study and a more elaborate experiment with emotion elicitation. Results from the experiment show that AffecTV can detect certain trained activities with an average accuracy of 64.6%. The experiment conditions were not right for training affect detection. | Notes: | master in de informatica-multimedia | Document URI: | http://hdl.handle.net/1942/15701 | Category: | T2 | Type: | Theses and Dissertations |
Appears in Collections: | Master theses |
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08270182012196.pdf | 20.78 MB | Adobe PDF | View/Open |
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