In-Air Un-Instrumented Pointing Performance

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dc.contributor.advisorStuerzlinger, Wolfgang
dc.creatorBrown, Michelle Andree
dc.date.accessioned2015-01-26T14:04:42Z
dc.date.available2015-01-26T14:04:42Z
dc.date.copyright2014-05-05
dc.date.issued2015-01-26
dc.date.updated2015-01-26T14:04:41Z
dc.degree.disciplineComputer Science
dc.degree.levelMaster's
dc.degree.nameMSc - Master of Science
dc.description.abstractI present an analysis of in-air un-instrumented pointing and selection. I look at the performance of these systems and how this performance can be improved, with the eventual goal that their throughput reaches that of the mouse. Many potential limiting factors were explored, such as latency, selection reliability, and elbow stabilization. I found that the un-instrumented in-air pointing as currently implemented performed significantly worse, at less than 75% of mouse throughput. Yet, my research shows that this value can potentially reach mouse-like levels with lower system latencies, user training, and potentially improved finger tracking. Even without these improvements, the large range of applications for un-instrumented 3D hand tracking makes this technology still an attractive option for user interfaces.
dc.identifier.urihttp://hdl.handle.net/10315/28159
dc.language.isoen
dc.rightsAuthor owns copyright, except where explicitly noted. Please contact the author directly with licensing requests.
dc.subjectComputer science
dc.subject.keywordsHuman factorsen_US
dc.subject.keywordsIn-airen_US
dc.subject.keywordsUn-instrumenteden_US
dc.subject.keywordsPointingen_US
dc.subject.keywordsFitts lawen_US
dc.subject.keywordsLeap motionen_US
dc.subject.keywordsInput devicesen_US
dc.subject.keywordsMouseen_US
dc.subject.keywordsReliabilityen_US
dc.subject.keywordsChopsticken_US
dc.subject.keywordsSelectionen_US
dc.subject.keywordsRay pointingen_US
dc.titleIn-Air Un-Instrumented Pointing Performance
dc.typeElectronic Thesis or Dissertation

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