Creation of the SHREC track: Recognition Of Dynamic Hand Motions Molding Clay

dc.rights.license	CC-BY-NC-ND
dc.contributor.advisor	Veltkamp, Remco
dc.contributor.author	Veldhuijzen, Ben
dc.date.accessioned	2024-10-18T00:03:02Z
dc.date.available	2024-10-18T00:03:02Z
dc.date.issued	2024
dc.identifier.uri	https://studenttheses.uu.nl/handle/20.500.12932/47998
dc.description.abstract	Gesture recognition is a tool that enables intuitive Human Computer interactions (HCI) for techniques and applications in the fields of Extended Reality (XR). In this master thesis we present the steps we took to create a new SHREC Track for the hand gesture category. Namely the track Recognition Of Dynamic Hand Motions Molding Clay. The task is the recognition of 7 motion classes given their spatial coordinates in a frame by frame motion. Our novel dataset has been captured using a Vicon system
dc.description.sponsorship	Utrecht University
dc.language.iso	EN
dc.subject	Gesture Recognition done using neural networks on a skeletal coordinate dataset created from scratch using a Vicon system.
dc.title	Creation of the SHREC track: Recognition Of Dynamic Hand Motions Molding Clay
dc.type.content	Master Thesis
dc.rights.accessrights	Open Access
dc.subject.keywords	Gesture Recognition;SHREC;Motion capture;Hand gestures;3D Shape Retrieval Challenge
dc.subject.courseuu	Computing Science
dc.thesis.id	40347