Who’s a Good Dog? Fusing Multimodal Environmental and Behavioral Data from IoT Sensors, Analytics, and Machine Learning to Characterize, Predict, and Improve Guide Dog Outcomes.

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dc.contributor.advisorDavid Roberts, Chair
dc.contributor.advisorMargaret Gruen, Member
dc.contributor.advisorTiffany Barnes, Member
dc.contributor.advisorAlper Bozkurt, Member
dc.contributor.authorCleghern, Zachary Bryon
dc.date.accepted2020-10-26
dc.date.accessioned2020-11-04T13:31:09Z
dc.date.available2020-11-04T13:31:09Z
dc.date.defense2020-10-23
dc.date.issued2020-10-23
dc.date.released2020-11-04
dc.date.reviewed2020-10-23
dc.date.submitted2020-10-23
dc.degree.disciplineComputer Science
dc.degree.leveldissertation
dc.degree.nameDoctor of Philosophy
dc.descriptionNorth Carolina State University Theses Computer Science.
dc.formatPh.D. North Carolina State University, 2020.
dc.identifier.otherdeg23097
dc.identifier.urihttps://www.lib.ncsu.edu/resolver/1840.20/38318
dc.titleWho’s a Good Dog? Fusing Multimodal Environmental and Behavioral Data from IoT Sensors, Analytics, and Machine Learning to Characterize, Predict, and Improve Guide Dog Outcomes.
dcterms.extent1 online resource (viii, 92 pages) : illustrations (some color)

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