Document Server@UHasselt >
Education >
School for Information Technology >
Master theses >

Please use this identifier to cite or link to this item: 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
URI: http://hdl.handle.net/1942/15701
Category: T2
Type: Theses and Dissertations
Appears in Collections: Master theses

Files in This Item:

Description SizeFormat
N/A20.78 MBAdobe PDF

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.