Investigating Human-Computer Interaction with Motion-Capture Algorithms using a Microsoft Kinect

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dc.contributor.authorCarlsson, Oliver
dc.contributor.authorBrandvik, Jonas
dc.contributor.authorChristensen, Jens
dc.contributor.departmentChalmers tekniska högskola / Institutionen för data- och informationsteknik (Chalmers)sv
dc.contributor.departmentChalmers University of Technology / Department of Computer Science and Engineering (Chalmers)en
dc.date.accessioned2019-07-03T12:52:50Z
dc.date.available2019-07-03T12:52:50Z
dc.date.issued2012
dc.description.abstractThis bachelor thesis investigates tracking of the human body in a 3D environment using known computer-visual algorithms. This is done by evaluating a variety of filter-, detection-, and trackingalgorithms, and assessing their strength and weaknesses in different environmental conditions that are found in most indoor situations. We will also discuss different combinations of algorithms that work together to optimize efficiency in a variety of conditions with limited resources. The purpose of the developed application has been to evaluate how the algorithms perform and investigate the different possibilities to track using an ordinary laptop and a Microsoft Kinect. Finally, we discuss at what level of detail the tracking could be used and investigate if this kind of system could manage emotional capturing i.e. tracking facial expressions simultaneously with body movement.
dc.identifier.urihttps://hdl.handle.net/20.500.12380/159916
dc.language.isoeng
dc.setspec.uppsokTechnology
dc.subjectDatavetenskap (datalogi)
dc.subjectComputer Science
dc.titleInvestigating Human-Computer Interaction with Motion-Capture Algorithms using a Microsoft Kinect
dc.type.degreeExamensarbete för kandidatexamensv
dc.type.degreeBachelor Thesisen
dc.type.uppsokM2
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