Browsing Mohd. Rizon Mohamed Juhari, Prof. Ir. Dr. by Author "Ramachandran, Nagarajan"

Now showing items 1-6 of 6

    • Asymmetric ratio and FCM based salient channel selection for human emotion detection using EEG 

      Mohamad Rizon, Mohamed Juhari; Murugappan, M.; Ramachandran, Nagarajan; Sazali, Yaacob (World Scientific abd Engineering Academy and Scoiety (WSEAS), 2008)
      Electroencephalogram (EEG) is one of the most reliable physiological signals used for detecting the emotional states of human brain. We propose Asymmetric Ratio (AR) based channel selection for human emotion recognition ...

    • Development of a personified face emotion recognition technique using fitness function 

      Muthukaruppan, Karthigayan; Mohd Rizon, Mohamed Juhari; Ramachandran, Nagarajan; Masanori, Sugisaka; Sazali, Yaacob; Mohd Rozailan, Mamat; Hazry, Desa (Springer Japan, 2007-08-10)
      In this article, two subjects, one South East Asian (SEA) and the other Japanese, are considered for face emotion recognition using a genetic algorithm (GA). The parameters relating the face emotions in each case are ...

    • Fuzzy clustering for genetic algorithm based optimized ellipse data in classifying face emotion 

      Muthukaruppan, Karthigayan; Mohd Rizon, Mohamed Juhari; Sazali, Yaacob; Ramachandran, Nagarajan; Masanori, Sugisaka; Mohd Rozailan, Mamat (Institute of Electrical and Electronics Engineering (IEEE), 2007-10)
      In this paper, lip and eye features are applied to classify the human emotion using a set of irregular and regular ellipse fitting equations using genetic algorithm (GA). A South East Asian face is considered in this study. ...

    • Human faces: a review from detection to recognition 

      Mohamed Rizon, Mohamed Juhari; Muthukaruppan, Karthigayan; Sazali, Yaacob; Ramachandran, Nagarajan; Puteh, Saad; P. L. EhKan (Kolej Universiti Kejuruteraan Utara Malaysia, 2005-05-14)
      In this paper, we review researches on human faces from aspect of face recognition and face detection. Face emotion recognition are also reviewed. The study of human faces has much assistance on computer vision and machine ...

    • Personalized face emotion classification using optimized data of three features 

      Muthukaruppan, Karthigayan; Ramachandran, Nagarajan; Mohd Rizon, Mohamed Juhari; Sazali, Yaacob (Institute of Electrical and Electronics Engineering (IEEE), 2007)
      In this paper, lip and eye features are applied to classify the human emotion through a set of irregular and regular ellipse fitting equations using Genetic algorithm (GA). South East Asian face is considered in this study. ...

    • A survey on face emotion recognition and applications 

      Muthukaruppan, Karthigayan; Mohd Rizon, Mohamed Juhari; Ramachandran, Nagarajan (Association for the Advancement of Modelling and Simulation Techniques in Enterprises (AMSE), 2007)
      This paper presents a decade long research efforts of recognizing human emotion conveyed through facial expressions (face emotion). Face emotion recognition starts from processing still and video camera images and identifying ...