2.50
Hdl Handle:
http://hdl.handle.net/11290/608081
Title:
GESTURE ANALYSIS FOR ASTRONOMY PRESENTATION SOFTWARE
Authors:
Robinson, Marc A.
Abstract:
Astronomy presentation software in a planetarium setting provides a visually stim- ulating way to introduce varied scientific concepts, including computer science concepts, to a wide audience. However, the underlying computational complexity and opportun- ties for discussion are often overshadowed by the brilliance of the presentation itself. To bring this discussion back out into the open, a method needs to be developed to make the computer science applications more visible. This thesis introduces the GAAPS system, which endeavours to implement free- hand gesture-based control of astronomy presentation software, with the goal of providing that talking point to begin the discussion of computer science concepts in a planetar- ium setting. The GAAPS system incorporates gesture capture and analysis in a unique environment presenting unique challenges, and introduces a novel algorithm called a Bounding Box Tree to create and select features for this particular gesture data. This thesis also analyzes several di↵erent machine learning techniques to determine a well- suited technique for the classification of this particular data set, with an artificial neural network being chosen as the implemented algorithm. The results of this work will allow for the desired introduction of computer science discussion into the specific setting used, as well as provide for future work pertaining to gesture recognition with astronomy presentation software.
Affiliation:
Tennessee Technological University
Issue Date:
2014
URI:
http://hdl.handle.net/11290/608081
Submitted date:
2016-02-24
Document Source:
Dissertation/Thesis
Language:
English Paper
Type Of Resource:
Curriculum/Program Report or Description
Research Setting:
Planetarium
Construct:
Technology
Nation:
USA
Appears in Collections:
Astronomy Education Research

Full metadata record

DC FieldValue Language
dc.contributor.authorRobinson, Marc A.en
dc.date.accessioned2016-05-04T09:01:35Zen
dc.date.available2016-05-04T09:01:35Zen
dc.date.issued2014en
dc.date.submitted2016-02-24en
dc.identifier.urihttp://hdl.handle.net/11290/608081en
dc.description.abstractAstronomy presentation software in a planetarium setting provides a visually stim- ulating way to introduce varied scientific concepts, including computer science concepts, to a wide audience. However, the underlying computational complexity and opportun- ties for discussion are often overshadowed by the brilliance of the presentation itself. To bring this discussion back out into the open, a method needs to be developed to make the computer science applications more visible. This thesis introduces the GAAPS system, which endeavours to implement free- hand gesture-based control of astronomy presentation software, with the goal of providing that talking point to begin the discussion of computer science concepts in a planetar- ium setting. The GAAPS system incorporates gesture capture and analysis in a unique environment presenting unique challenges, and introduces a novel algorithm called a Bounding Box Tree to create and select features for this particular gesture data. This thesis also analyzes several di↵erent machine learning techniques to determine a well- suited technique for the classification of this particular data set, with an artificial neural network being chosen as the implemented algorithm. The results of this work will allow for the desired introduction of computer science discussion into the specific setting used, as well as provide for future work pertaining to gesture recognition with astronomy presentation software.en
dc.description.provenanceMade available in DSpace on 2016-05-04T09:01:35Z (GMT). No. of bitstreams: 1 9ae30a85-dfcf-4ea0-9244-40fbbebc4652.pdf: 2246699 bytes, checksum: c42078c6b66de74d7af8df3a9d0f0fe0 (MD5) Previous issue date: 2014en
dc.language.isoEnglish Paperen
dc.titleGESTURE ANALYSIS FOR ASTRONOMY PRESENTATION SOFTWAREen
dc.typeDissertation/Thesisen
dc.contributor.departmentTennessee Technological Universityen
dc.type.resourceCurriculum/Program Report or Descriptionen
dc.istar.constructTechnologyen
dc.istar.nationUSAen
dc.istar.researchsettingPlanetariumen
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