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.
