Customer’s Spontaneous Facial Expression Recognition

HAMIMAH BINTI UJIR, GOLAM MORSHED, Irwandi Hipiny

Abstract


In the field of consumer science, customer facial expression is often categorized either as negative or positive. Customer who portrays negative emotion to a specific product mostly means they reject the product while a customer with positive emotion is more likely to purchase the product. To observe customer emotion, many researchers have studied different perspectives and methodologies to obtain high accuracy results. This paper aims to recognize customer spontaneous expressions while the customer observed certain products. We have developed a customer service system using a Conventional Neural Network which is trained to detect three types of facial expression, i.e. happy, sad, and neutral. Facial features are extracted together with its Histogram of Gradient and sliding window.  The results are then compared with the existing works and it shows an achievement of 82.9% success rate on average.

Keywords


Facial Expressions; Face Detection; Customer’s Emotion; CNN

References


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DOI: http://doi.org/10.11591/ijeecs.v22.i3.pp%25p

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