Browsing Mohd. Rizon Mohamed Juhari, Prof. Ir. Dr. by Subject "Detectors"

Now showing items 1-8 of 8

    • 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 ...

    • Estimating Face Emotion using Genetic Algorithm 

      Karthigayan, M.; Mohd Rizon, Muhamed Juhari; Sazali, Yaacob; Nagarayan, R. (Kolej Universiti Kejuruteraan Utara Malaysia, 2006-09-15)
      Recognition of emotion through face features (Face Emotion) is a recent concept undertaken by several researchers. Face features have to be extracted from face images before applying the emotion recognition techniques. ...

    • 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. ...

    • 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 ...

    • Recognition of human front face in Grayscale Images 

      Mohamed Rizon, Mohamed Juhari; Phaklen Ehkan; Ahmad Nasir, Che Rosli (Kolej Universiti Kejuruteraan Utara Malaysia, 2005-05-18)
      We propose a new technique to recognize the unknown person in grayscale face images for which the position, scale and image-plane rotation of the face are unknown. The proposed system detects the iris of both eyes and ...

    • 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 ...