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A SDK improvement towards gesture support

dc.contributor.advisorCardoso, Tiago
dc.contributor.authorDelgado, João Ricardo Ferreira
dc.date.accessioned2015-01-13T17:27:22Z
dc.date.available2015-01-13T17:27:22Z
dc.date.issued2014-09
dc.date.submitted2015-01
dc.description.abstractHuman-Computer Interaction have been one of the main focus of the technological community, specially the Natural User Interfaces (NUI) field of research as, since the launch of the Kinect Sensor, the goal to achieve fully natural interfaces just got a lot closer to reality. Taking advantage of this conditions the following research work proposes to compute the hand skeleton in order to recognize Sign Language Shapes. The proposed solution uses the Kinect Sensor to achieve a good segmentation and image analysis algorithms to extend the skeleton from the extraction of high-level features. In order to recognize complex hand shapes the current research work proposes the redefinition of the hand contour making it immutable to translation, rotation and scaling operations, and a set of tools to achieve a good recognition. The validation of the proposed solution extended the Kinects Software Development Kit to allow the developer to access the new set of inferred points and created a template-matching based platform that uses the contour to define the hand shape, this prototype was tested in a set of predefined conditions and showed to have a good success ration and has proven to be eligible for real-time scenarios.por
dc.identifier.urihttp://hdl.handle.net/10362/14100
dc.language.isoengpor
dc.subjectKinectpor
dc.subjectSDKpor
dc.subjectExtensionpor
dc.subjectShape recognitionpor
dc.subjectTemplate matchingpor
dc.titleA SDK improvement towards gesture supportpor
dc.typemaster thesis
dspace.entity.typePublication
rcaap.rightsopenAccesspor
rcaap.typemasterThesispor
thesis.degree.disciplineEngenharia Electrotécnica e de Computadorespor
thesis.degree.levelGrau de Mestrepor
thesis.degree.nameDissertaçãopor

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