Development of an intelligent facial expression recognizer for mobile applications
Cho, Siu-Yeung, Teoh, Teik-Toe, and Nguwi, Yok-Yen (2009) Development of an intelligent facial expression recognizer for mobile applications. In: New Advances in Intelligent Decision Technologies. Springer, Berlin, Germany, pp. 21-29.
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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.
|Item Type:||Book Chapter (Research - B1)|
|FoR Codes:||08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080105 Expert Systems @ 100%|
08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080109 Pattern Recognition and Data Mining @ 0%
|SEO Codes:||89 INFORMATION AND COMMUNICATION SERVICES > 8902 Computer Software and Services > 890202 Application Tools and System Utilities @ 100%|
|Deposited On:||19 Sep 2012 14:21|
|Last Modified:||19 Sep 2012 14:21|
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