alexa Abstract | Emotion Recognition Using Human Computation Technique
ISSN ONLINE(2320-9801) PRINT (2320-9798)

International Journal of Innovative Research in Computer and Communication Engineering
Open Access

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In this paper, we proposed a competitive human computing game, face emotion recognition to recognize the emotions from the image of human face. A human computing paradigm has enormous potential to address problems that computers can’t get tackle on their own and eventually teach computers many of these human talents. Many tasks are trivial for humans, but very challenging for computer programs. Unlike computer processor, human require some incentives to become part of a collective computation games are the seductive method for encouraging people to participate mechanism for using brain power to solve open problems. It must be proven correct, its efficiency can be analyzed, and a more efficient version can supersede a less efficient one and so on. ”Game with a Purpose” have a vast range of application in area as diverse as security, computer vision, internet accessibility, adult content filtering, internet search and one such a game is the face emotion recognition. It demonstrates how human solve problems as they play while computers can’t yet solve. This face emotion recognition is the game which associates more than 10 players at a time. The players are provided with a random and similar image of a face and they are requested to identify the emotion of that face. The response of the majority will be considered as a resultant emotion. Having that resultant emotion, the system will provide the reply to all the players’ whether the selected emotion is right or wrong. The details of each player such as player name, emotion they recognized are stored in the database. Here we implement this logic of human computation such that any complex machine algorithms need not be used and hence lower time and space has been achieved.

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