Now showing items 1-6 of 6

    • 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 ...
    • Face emotion recognition 

      Mohd Rizon, Mohamed Juhari; M., Karthigayan; Ramachandran, Nagarajan, Prof. Dr.; Sazali, Yaacob, Prof. Dr.; M., Rozailan; M., Sugisaka; Hazry, Desa, Dr. (Universiti Malaysia Perlis (UniMAP)Pejabat Timbalan Naib Canselor (Penyelidikan dan Inovasi), 2007-01)
    • 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. ...
    • Lifting scheme for human emotion recognition using EEG 

      Murugappan, M., Dr.; Mohd Rizon, Mohamed Juhari; Nagarajan, Ramachandran, Prof. Dr.; Sazali, Yaacob, Prof. Dr.; Ibrahim, Zunaidi; Hazry, Desa, Assoc. Prof. Dr. (IEEE Conference Publications, 2008-08)
      In recent years, the need and importance of automatically recognizing emotions from EEG signals has grown with increasing role of brain computer interface applications. The detection of fine grained changes in functional ...
    • 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. ...
    • Various Recognition approach in human faces 

      Karthigayan, M.; Mohd Rizon, Mohamed Juhari; Sazali, Yaacob; Nagarajan, R.; Puteh, Saad; Muhammed Firdaus, Hashim; Haniza, Yazid (Universiti Teknologi Petronas (UTP), 2005-12-01)
      In this paper, we review researches on human faces from aspect offace recognition and face detection. Face emotion recognition are also reviewed. The study of human faces has much assistance on computer vision and machine ...