Browsing Ramachandran, Nagarajan, Prof. Dr. by Author "bmghandi@gmail.com"
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Emotion detecting humanoid – the use of GPSO Algorithm
Bashir, Mohammed Ghandi; Ramachandran, Nagarajan, Prof. Dr.; Hazry, Desa, Assoc. Prof. Dr. (Universiti Malaysia Perlis (UniMAP)Centre for Graduate Studies, 2010-10-16)Recently, we implemented a real-time expert system that receives a live video stream of the face of a human subject and recognizes any of the six basic facial emotions expressed by the subject. The expert system ... -
Facial emotion detection using GPSO and Lucas-Kanade algorithms
Bashir, Mohammed Ghandi; Nagarajan, Ramachandran, Prof. Dr.; Hazry, Desa, Prof. Madya Dr. (Institute of Electrical and Electronics Engineers (IEEE), 2010-05-11)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 ... -
Facial emotion detection using Guided Particle Swarm Optimization (GPSO)
Bashir, Mohammed Ghandi; Nagarajan, R.; Hazry, Desa (Universiti Malaysia Perlis, 2009-10-11)In this paper, we present a novel approach to human facial emotion detection by applying a modified version of the Particle Swarm Optimization (PSO) algorithm, which we called Guided Particle Swarm Optimization (GPSO). ... -
GPSO versus GA in facial emotion detection
Bashir, Mohammed Ghandi; Ramachandran, Nagarajan, Prof. Dr.; Sazali, Yaacob, Prof. Dr.; Hazry, Desa, Assoc. Prof. Dr. (Universiti Malaysia Perlis (UniMAP)School of Mechatronic Engineering, 2012-02-27)We recently proposed a modification to the widely known Particle Swarm Optimization (PSO) algorithm so that it can be applied as a method for facial emotion recognition. We named our proposed modification to PSO as the ... -
Real-time system for facial emotion detection using GPSO algorithm
Bashir, Mohammed Ghandi; R., Nagarajan, Prof. Dr.; Hazry, Desa, Assoc. Prof. Dr. (Institute of Electrical and Electronics Engineers (IEEE), 2010-10-03)Particle Swarm Optimization (PSO) algorithm has been widely recognized as an efficient algorithm with applicability is many areas. Recently, we proposed the Guided Particle Swarm Optimization (GPSO) algorithm, which is a ...