Two-Tier Emergent Self-Organizing (TtEsom) approach of understanding emotions

Nguwi, Yok Yen, and Teoh, Teik Toe (2010) Two-Tier Emergent Self-Organizing (TtEsom) approach of understanding emotions. In: Proceedings of the 11th International Conference on Control Automation Robotics and Vision, pp. 654-658. From: 11th International Conference on Control Automation Robotics and Vision (ICARCV 2010), 7-10 December 2010, Singapore.

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Abstract

This paper extends the previous work on emotion mapping [1] that attempts to emulate human brain reference model. Most emotion recognition system analyzes facial expression through supervised learning whereas this work adopts unsupervised learning. The system first locates the human face in an image, and then identifies the localized face emotion. The proposed method uses features obtained using Gabor wavelets, undergoes features selection through the use of a derivation of Support Vector Machine. This work adopted a connectionist model, called Two-tier Emergent Self-Organizing Map (TtEsom) to analyse the emotion. The result shows improvement over the previous work and comparable result with supervised learning approach.

Item ID: 22471
Item Type: Conference Item (Refereed Research Paper - E1)
Keywords: self organizing map; support vector machine; emotion; face
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ISBN: 978-1-4244-7814-9
Date Deposited: 20 Sep 2012 01:34
FoR Codes: 08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080105 Expert Systems @ 100%
SEO Codes: 89 INFORMATION AND COMMUNICATION SERVICES > 8902 Computer Software and Services > 890202 Application Tools and System Utilities @ 100%
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