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dc.contributor.advisorGamboa, Ruben
dc.contributor.authorFagley, Cody
dc.contributor.authorGradecki, Mark
dc.contributor.authorHorner, Wyatt
dc.contributor.authorFirnekas, Shane
dc.contributor.authorFagley, Cody
dc.contributor.authorGradecki, Mark
dc.contributor.authorHorner, Wyatt
dc.contributor.authorFirnekas, Shane
dc.date2017-06-26
dc.date.accessioned2018-06-10T22:50:16Z
dc.date.available2018-06-10T22:50:16Z
dc.description.abstractMouseVision is a project that combines optical tracking and speech recognition software to create a mouse that does not rely on the use of arms and legs. It utilizes the openCV API to find an initial point to track and creates a point vector. Then it detects changes in the point vector to create a corresponding change in the mouse position on screen. It combines this aspect with the CMU Sphinx speech recognition library to perform clicks when the end user says "left click" or "right click". The goal of this project was to make an interface that used cost-effective hardware, such as a webcam and microphone, to allow someone who is quadriplegic, or otherwise physically limited, to operate a mouse cursor. The project is considered successful, because a person without any arms at all is able to do basic computer tasks, such as play chess, using the MouseVision software.
dc.identifierhttp://repository.uwyo.edu/ugrd/2017_UGRD/Presentations/160
dc.identifierhttp://repository.uwyo.edu/context/ugrd/article/1998/type/native/viewcontent
dc.identifier.urihttps://hdl.handle.net/20.500.11919/2863
dc.languageEnglish
dc.publisherUniversity of Wyoming. Libraries
dc.sourceUndergraduate Research Day
dc.subjectEducation
dc.titleMouseVision
dc.typePresentation
thesis.degree.disciplineEducation


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