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Gesture Recognition Using Template Matching in VR

Somby, Christer Peltoperæ
Master thesis
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URI
http://hdl.handle.net/11250/2502557
Date
2018
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  • Institutt for datateknologi og informatikk [7453]
Abstract
The goal of this master project was to implement and run experiments on gesturerecognition using template matching and particle filtering in virtual reality. Exper-iments were done using the gesture recognition software written to test certainresearch questions. The main observation from the research is that users do nothave the same mindset when forming gestures and that users can indeed take sim-ple instructions and form gestures. Thresholds are not specific to users, but they arespecific to gestures, unless you improve the system as mentioned in future work.And finally, it is fully possible to create a real-time gesture recognition system thatworks quite well with high accuracy.
Publisher
NTNU

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