Mind reading: a survey and a proof of concept platform for perception analysis

Abstract

This 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.