Mind Reading: A Survey and a Proof of Concept Platform for Perception Analysis

dc.contributor.authorGunawardana, ASL
dc.contributor.authorPathirana, PS
dc.contributor.authorGamage, TST
dc.contributor.authorPonnamperuma, SR
dc.contributor.authorWeerawarana, SM
dc.date.accessioned2017-03-21T08:05:14Z
dc.date.available2017-03-21T08:05:14Z
dc.description.abstractThis research paper discusses evolution of perception capturing and analytic mechanisms and presents a system for crowdsourced perception analysis. Crowdsourcing has become a buzzword in social computing which can be effectively applied for perception analysis. There are situations in recent past like Arab Spring in which crowdsourcing was heavily affected to increase the interest and motivation of the citizens through a huge crowdsourced news scoop. In mega sporting and entertainment events the members of the crowd can actively participate through handheld mobile devices to convey their perception. Crowdsourced perceptual data can be analyzed in many dimensions which creates diversified opportunities across several sectors. This paper discusses conventional survey mechanisms which have evolved towards real time emotion capturing systems with video processing and image processing. Also we present architecture and a prototype application for crowdsourced perception analysis.en_US
dc.identifier.conferenceITRU RESEARCH SYMPOSIUMen_US
dc.identifier.departmentDepartment of Computer Science and Engineeringen_US
dc.identifier.emailandunslg@gmail.comen_US
dc.identifier.emailprabhathsuminda@gmail.comen_US
dc.identifier.emailtgtshanika@gmail.comen_US
dc.identifier.emailsachintha.rajith@gmail.comen_US
dc.identifier.emailshahani.w@gmail.comen_US
dc.identifier.facultyEngineeringen_US
dc.identifier.pgnos1-6en_US
dc.identifier.placeUniversity of Moratuwaen_US
dc.identifier.urihttp://dl.lib.mrt.ac.lk/handle/123/12575
dc.identifier.year2013en_US
dc.language.isoenen_US
dc.subjectPerception analysis, Crowdsourcing, Emotionsen_US
dc.titleMind Reading: A Survey and a Proof of Concept Platform for Perception Analysisen_US
dc.typeConference-Full-texten_US

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