DSpace
 

iRepository at Perpustakaan UniMAP >
The Library >
Conference Papers >

Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/dspace/handle/123456789/10357

Title: Facial emotion detection using GPSO and Lucas-Kanade algorithms
Authors: Bashir, Mohammed Ghandi
Nagarajan, Ramachandran, Prof. Dr.
Hazry, Desa, Prof. Madya Dr.
???metadata.dc.contributor.url???: bmghandi@gmail.com
nagarajan@unimap.edu.my
hazry@unimap.edu.my
Keywords: Emotion detection;Facial action units;Facial emotions;Facial expressions;LK;Lucas-Kanade;Particle swarm optimization;PSO
Issue Date: 11-May-2010
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Citation: p.1-6
Series/Report no.: Proceedings of the International Conference on Computer and Communication Engineering (ICCCE) 2010
Abstract: Emotion detection is receiving a lot of attention from researchers due to its potentials in improving humancomputer interaction. Recently, we proposed a modification to the Particle Swarm Optimization (PSO) algorithm for the purpose applying it to emotion detection. Our algorithm, which we called Guided Particle Swarm Optimization (GPSO), involves studying the movements of specific points, called action units (AUs), placed on the face of a subject, as the subject expresses different emotions. A swarm of particles is defined such that each particle consists of components from the neighborhood of each AU. However, instead of applying the pure PSO on the swarm to detect emotions, we made the algorithm to take into account the positions of the AUs - thus, the swarm is effectively guided to converge on the path of the AUs. We showed this approach to work very well and made the swarm to converge very quickly to identify the emotion being expressed. One limitation to our earlier system was that the AUs must be physically specified on the subject before the video clips are recorded. In this paper, we present an improvement on the system where we specify the AUs at runtime in a video stream and then apply LK algorithm to keep track of their positions, thus making the system to work on real time basis with the same promising detection success rates. Potential application areas of our system include medical engineering, forensic applications by police and psychiatric applications.
Description: Link to publisher's homepage at http://ieeexplore.ieee.org/
URI: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5556754
http://hdl.handle.net/123456789/10357
ISBN: 978-1-4244-6233-9
Appears in Collections:Hazry Desa, Assoc. Prof. Dr.
Conference Papers
Ramachandran, Nagarajan, Prof. Dr.

Files in This Item:

File Description SizeFormat
Facial emotion detection using GPSO and Lucas.pdfAccess is limited to UniMAP community35.75 kBAdobe PDFView/Open
View Statistics

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

 

Valid XHTML 1.0! Perpustakaan Tuanku syed Faizuddin Putra, Kampus Pauh Putra, Universiti Malaysia Perlis, 02600, Arau Perlis
TEL: +604-9885420 | FAX: +604-9885405 | EMAIL: rujukan@unimap.edu.my Feedback