Now showing items 1-7 of 7

    • 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 - A survey 

      Kartigayan, M.; Mohamed Rizon, Mohamed Juhari; Sazali, Yaacob; Nagarajan, R. (Oita University, 2006-01-23)
      The facial emotion is playing a vital role in visual communication system. The vision system is being integrated to the robot to recognize the facial gestures or emotion. The integration of the vision system and EMG sensors ...
    • 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. ...
    • An Intelligent Vision Based Domestic Waste Sorting System 

      Hema, Chengalvarayan Radhakrishnamurthy; Paulraj, Murugesapandian, Assoc. Prof. Dr.; Sazali, Yaacob, Prof. Dr.; Ramachandran, Nagarajan, Prof. Dr.; Abdul Hamid, Adom, Assoc. Prof. Dr.; R. Jaii Ganes Rangasamy; Maheswaran, Degarajan (School of Mechatronic Engineering, 2008-01-09)
      The Intelligent Vision Based Domestic Waste Sorting System is an automatic waste sorting system which use vision and infra red sensors to indentify paper and plastic. The system consists of a conveyor system to feed the ...
    • Japanese face emotions classification using lip features 

      Mohamad Rizon, Mohamed Juhari; Muthukaruppan, Karthigayan; Sazali, Yaacob; Nagarajan, R. (Institute of Electrical and Electronics Engineering (IEEE), 2007)
      In this paper, lip features are applied to classify the human emotion using a set of irregular ellipse fitting equations using Genetic algorithm. As Japanese, is considered in this study. All six universally accepted ...
    • A new approach for recognition of human emotions 

      Karthigayan, M.; Mohd Rizon, Muhamed Juhari; Sazali, Yaacob; Nagarajan, R. (Institut Teknologi Bandung, 2006-11-29)
      In the modern world, all elder people and young child are left alone at home. As long, they are staying alone at home will lead some depression and diversion for them. To overcome this problem, robots are implemented with ...
    • 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 ...