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Description / Abstract
Submitted to the Department of Mathematics and Computer Science in partial fulfillment of the requirements for the degree of Bachelor of Arts
According to the American Chiropractic Association, 31 million Americans experience low-back pain at any given time. Sublux, an Android application written in Java, aims to reduce this number by putting a valuable tool in the average person’s hand. This tool analyzes photos of a user and returns the results so that adjustments to the user’s posture can be improved as needed through chiropractic therapy. The end result of the project is a fully functional Android application that successfully analyzes a user’s posture through photos. The photo is then displayed alongside the results of the analysis for the user to review. While Sublux is fully functional, there may be issues analyzing some photos due to lighting, backdrops and background items, or changes in textures. Sublux recommends good lighting and a solid background for best results but also contains code to combat any photos that are subpar. The code to combat this is not perfect, however, and will need to be improved in future versions. The source code will be available at github.com/jayden2013/sublux, and an APK will be available for download at jayden2013.github.io/sublux.Download this Resource
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File Size Small - 384 KB
Copyright NotesNon-exclusive right to publish on file at NNU Library. Available on request.
KeywordsSublux, photo analysis, chiropractic therapy
Degree AwardedBachelor of Arts
Awarding InstitutionNorthwest Nazarene University
Committee MembersJohn Davlin
Supervisor or ChairBarry Myers
Peer Reviewed?No
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NNU Computer Science Theses
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