Title:
MoodLens

dc.contributor.author Vujic, Angela
dc.contributor.committeeMember Jackson, Melody
dc.contributor.committeeMember Starner, Thad
dc.contributor.department Computer Science
dc.date.accessioned 2017-07-28T18:33:38Z
dc.date.available 2017-07-28T18:33:38Z
dc.date.created 2017-05
dc.date.issued 2017-05
dc.date.submitted May 2017
dc.date.updated 2017-07-28T18:33:38Z
dc.description.abstract Using an outward-facing display mounted on eyeglasses, MoodLens seeks to help individuals express emotion who have lost the ability to speak or use facial muscles. MoodLens looks like normal eyeglasses when not in use and allows the wearer to experience eye contact normally. We collected data from non-disabled participants (i.e., potential conversation partners for the wearer) who viewed smiling, neutral and frowning emoticons on MoodLens accompanied by computerized speech. The emoticons were recognizable at conversational distances and altered the perceived emotional content of the speech significantly.
dc.description.degree Undergraduate
dc.format.mimetype application/pdf
dc.identifier.uri http://hdl.handle.net/1853/58493
dc.language.iso en_US
dc.publisher Georgia Institute of Technology
dc.subject Assistive Technologies
dc.subject Affective Computing
dc.title MoodLens
dc.type Text
dc.type.genre Undergraduate Thesis
dspace.entity.type Publication
local.contributor.corporatename College of Computing
local.contributor.corporatename School of Computer Science
local.contributor.corporatename Undergraduate Research Opportunities Program
local.relation.ispartofseries Undergraduate Research Option Theses
relation.isOrgUnitOfPublication c8892b3c-8db6-4b7b-a33a-1b67f7db2021
relation.isOrgUnitOfPublication 6b42174a-e0e1-40e3-a581-47bed0470a1e
relation.isOrgUnitOfPublication 0db885f5-939b-4de1-807b-f2ec73714200
relation.isSeriesOfPublication e1a827bd-cf25-4b83-ba24-70848b7036ac
thesis.degree.level Undergraduate
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