Development of an intelligent facial expression recognizer for mobile applications

Siu Yeung Cho, Teik Toe Teoh, Yok Yen Nguwi

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)


In the light of fast pace smart phone development, increasing numbers of applications are being developed to cater for portability. A real-time facial expression recognition application is develop that was tested in Windows Mobile environment. The underlying algorithm adopted in this work uses Boosting Naïve Bayesian (BNB) approach for recognition. We examine the structure of training data and the effect of attributes on the class probabilities through the use of Naïve Bayesian classifier (NBC). The experiments carried out show that we have achieved the important features of mobile application: speed and efficiency. This work is believed to be the first recorded initiative that de-ploys facial expression recognition into a mobile phone. It seeks to provide a launching point for a sound and portable mobile application that is capable of recognizing different facial expressions.

Original languageEnglish
Title of host publicationNew Advances in Intelligent Decision Technologies
Subtitle of host publicationResults of the First KES International Symposium IDT 2009
EditorsKazumi Nakamatsu, Gloria Phillips-Wren, Lakhmi Jain, Robert Howlett
PublisherSpringer Verlag
Number of pages9
ISBN (Print)9783642009082
Publication statusPublished - 2009
Externally publishedYes

Publication series

NameStudies in Computational Intelligence
ISSN (Print)1860-949X

ASJC Scopus subject areas

  • Artificial Intelligence


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