ClosetStylist : an Android app for digitizing closets and programmatically consulting on what to wear

dc.contributor.advisorAziz, Adnan
dc.creatorLuong, Anh Dinhen
dc.date.accessioned2015-02-17T22:05:39Zen
dc.date.issued2014-12en
dc.date.submittedDecember 2014en
dc.date.updated2015-02-17T22:05:39Zen
dc.descriptiontexten
dc.description.abstractWe describe the design, algorithm, implementation and experiments with ClosetStylist – an Android app that helps users digitize their clothing inventory for better usage, manage outfit worn history, laundry bags, and last but not least, suggest what to wear based on occasion and weather. The app utilizes a variety of off-the-shelf services such as location and weather services, combining with our own clothes matching algorithm to recommend the most suitable outfit to users. In addition to the main features, ClosetStylist offers a friendly user interface that enables smooth navigation and keeps users engaged. The app was tested under different mock weather conditions with two sets of wardrobe, specifically a male closet of 24 items and a female closet of 86 items. The recommended outfits were displayed on the screen within three seconds of the moment the user initiated the options from the main menu. The app recommended satisfying results which we would hand-pick as our daily outfits.en
dc.description.departmentElectrical and Computer Engineeringen
dc.format.mimetypeapplication/pdfen
dc.identifier.urihttp://hdl.handle.net/2152/28534en
dc.language.isoenen
dc.subjectClosetStylisten
dc.subjectWearen
dc.subjectCloseten
dc.subjectAndroiden
dc.titleClosetStylist : an Android app for digitizing closets and programmatically consulting on what to wearen
dc.typeThesisen
thesis.degree.departmentElectrical and Computer Engineeringen
thesis.degree.disciplineElectrical and Computer Engineeringen
thesis.degree.grantorThe University of Texas at Austinen
thesis.degree.levelMastersen
thesis.degree.nameMaster of Science in Engineeringen

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