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 ...
    • Fast background subtraction for real time monitoring 

      Sundaraj, Kenneth; Retnasamy, V. (International Association of Science and Technology for Development (IASTED)/ACTA Press, 2007)
      We present an implementation for fast detection of moving objects in real time monitoring applications. We apply a common technique known as background subtraction for this purpose. Background subtraction can be defined ...
    • 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. ...
    • Hardware implementation of multiple fan beam projection technique in optical fibre process tomography 

      Ruzairi, Abdul Rahim; Mohd Hafiz Fazalul, Rahiman; Lai, Chen Leong; Kok, San Chan; Jon, Fea Pang (Molecular Diversity Preservation International (MDPI), 2008-05)
      The main objective of this project is to implement the multiple fan beam projection technique using optical fibre sensors with the aim to achieve a high data acquisition rate. Multiple fan beam projection technique here ...
    • 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 ...
    • An optical tomography system using a digital signal processor 

      Ruzairi, Abdul Rahim; Chiam, Kok Thiam; Mohd Hafiz, Fazalul Rahiman (Molecular Diversity Preservation International (MDPI), 2008-03)
      The use of a personal computer together with a Data Acquisition System (DAQ) as the processing tool in optical tomography systems has been the norm ever since the beginning of process tomography. However, advancements in ...
    • Real time mass flow rate measurement using multiple fan beam optical tomography 

      Ruzairi, Abdul Rahim; Lai, Chen Leong; Kok, San Chan; Mohd Hafiz Fazalul, Rahiman; Jon, Fea Pang (Elsevier, 2008)
      This paper presents the implementing multiple fan beam projection technique using optical fibre sensors for a tomography system. From the dynamic experiment of solid/gas flow using plastic beads in a gravity flow rig, the ...
    • 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 ...