NDLI: Automatic facial expression recognition system

Content Provider	IEEE Xplore Digital Library
Author	Balasubramani, A. Kalaivanan, K. Karpagalakshmi, R.C. Monikandan, R.
Copyright Year	2008
Description	Author affiliation: Bharathidasan Univ., Trichy (Balasubramani, A.; Kalaivanan, K.; Karpagalakshmi, R.C.; Monikandan, R.)
Abstract	The paper is mainly about the idea of robots replacing humans in all aspects. Able to express is the only aspect that makes humans a step higher than the robots we produce. We project an idea where robot can mimic human expressions by means of the ldquoautomatic facial expression systemrdquo. Automatic facial expression recognition system that utilizes multi-stream hidden Markov models (neural networks). The proposed system uses facial animation parameters (FAPs), supported by the MPEG-4 standard, as features describing facial expressions. In particular, the FAPs controlling the movement of the outer-lips and eyebrows are used as visual features for classification. Experiments were performed under several different scenarios utilizing outer-lip and eyebrow FAPs individually and jointly. A new approach is proposed for introducing facial expression and FAP group dependent stream weights. The weights were chosen based on the facial expression recognition results obtained when FAP group streams are utilized individually. The proposed multi stream neural networks facial expression recognition system achieves relative reduction of the expression recognition error of 44%, compared to the single-stream neural networks system.
Starting Page	1
Ending Page	5
File Size	3333931
Page Count	5
File Format	PDF
ISBN	9781424435944
DOI	10.1109/ICCCNET.2008.4787749
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-18
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Face recognition Image processing Humans Neural Networks Financial advantage program Facial Expressions Robotics and automation MPEG 4 Standard Neural networks Hidden Markov models Automatic control Facial animation Eyebrows Back Propagation Algorithm
Content Type	Text
Resource Type	Article

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