Title:
MoodLens
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 | |
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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 |