NDLI: Intelligent Facial Action and emotion recognition for humanoid robots

Content Provider	IEEE Xplore Digital Library
Author	Li Zhang Hossain, A. Ming Jiang
Copyright Year	2014
Description	Author affiliation: Dept. of Comput. Sci. & Digital Technol., Northumbria Univ., Newcastle upon Tyne, UK (Li Zhang; Hossain, A.) \|\| Dept. of Comput., Univ. of Leeds, Leeds, UK (Ming Jiang)
Abstract	This research focuses on the development of a realtime intelligent facial emotion recognition system for a humanoid robot. In our system, Facial Action Coding System is used to guide the automatic analysis of emotional facial behaviours. The work includes both an upper and a lower facial Action Units (AU) analyser. The upper facial analyser is able to recognise six AUs including Inner and Outer Brow Raiser, Upper Lid Raiser etc, while the lower facial analyser is able to detect eleven AUs including Upper Lip Raiser, Lip Corner Puller, Chin Raiser, etc. Both of the upper and lower analysers are implemented using feedforward Neural Networks (NN). The work also further decodes six basic emotions from the recognised AUs. Two types of facial emotion recognisers are implemented, NN-based and multi-class Support Vector Machine (SVM) based. The NN-based facial emotion recogniser with the above recognised AUs as inputs performs robustly and efficiently. The Multi-class SVM with the radial basis function kernel enables the robot to outperform the NN-based emotion recogniser in real-time posed facial emotion detection tasks for diverse testing subjects.
Starting Page	739
Ending Page	746
File Size	3507649
Page Count	8
File Format	PDF
ISSN	21614407
e-ISBN	9781479914845
DOI	10.1109/IJCNN.2014.6889647
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-07-06
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Emotion recognition Face recognition Hidden Markov models Face Training Humanoid robots support vector machine facial action facial emotion recognition neural network
Content Type	Text
Resource Type	Article

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