Now showing items 1-9 of 9

    • Application of feedforward neural network for the classification of pathological voices 

      Sazali, Yaacob, Prof. Dr.; Murugesa Padiyan, Paulraj, Dr.; Mohd Rizon, Mohammed Juhari, Prof. Dr.; Muthusamy, Hariharan, Dr. (Universiti Teknologi MARA (UiTM), 2007-03-09)
      This paper present the application of feed forward neural network for the classification of pathological voices based on the on the acoustic analysis and EGG features. Acoustic analysis is a non-invasive technique based ...
    • 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)
    • Face recognition using eigenfaces and neural networks 

      Mohamed Rizon; Muhammad Firdaus, Hashim; Puteh, Saad; Sazali, Yaacob, Prof. Dr.; Mohd Rozailan, Mamat; Ali Yeon, Md Shakaff, Prof. Dr.; Abdul Rahman, Saad; Hazri, Desa, Dr.; Karthigayan, M. (Science Publications, 2006)
      In this study, we develop a computational model to identify the face of an unknown person’s by applying eigenfaces. The eigenfaces has been applied to extract the basic face of the human face images. The eigenfaces is ...
    • Heart Caring "Handy" - Prototype 

      Retnasamy, Vithyacharan; R., Vijenthi; Sazali, Yaacob, Prof. Dr.; R., Nagarajan; Rizon, Juhari; Kenneth, Sundaraj; Shukry, Abd. Majid; Mohamad Hanif, Abd Hamid (Malaysian Invention and Design Society (MINDS), 2006-05-19)
      "Heart Carrying Handy" is designed to detect early abnormality in the heart pulse which will be deemed as a pre-heart attack sympton.
    • Identification of vocal and voice disorders 

      Murugesa Pandiyan, Paulraj, Prof. Madya Dr.; Sazali, Yaacob, Prof. Dr.; Mohd Rizon, Mohammed Juhari, Prof. Dr.; Sivanandam, S. N.; Muthusamy, Hariharan, Dr. (Universiti Malaysia Perlis (UniMAP), 2007-10-25)
      The discrimination of normal and pathological voices using noninvasive acoustic analysis helps to perform accurate identification of voice disorders and diagnoses of vocal and voice disease. Acoustic analysis is a non- ...
    • Object detection using circular hough transform 

      Mohamed Rizon; Haniza, Yazid; Puteh, Saad; Ali Yeon, Md Shakaff, Prof. Dr.; Abdul Rahman, Saad; Sugisaka, Masanori; Sazali, Yaacob, Prof. Dr.; M. Rozailan, Mamat; Karthigayan, M. (Science Publications, 2005)
      In this study we propose a new system to detect the object from an input image. The proposed system first uses the separability filter proposed by Fukui and Yamaguchi (Trans. IEICE Japan J80-D-II. 8, 2170-2177, 1997) to ...
    • Object detection using circular hough transform 

      Mohamed Rizon; Haniza, Yazid; Puteh, Saad; Ali Yeon, Md Shakaff, Prof. Dr.; Abdul Rahman, Saad; Sugisaka, Manasori; Sazali, Yaacob, Prof. Dr.; M. Rozailan, Mamat; Karthigayan, M. (Science Publications, 2005)
      In this study we propose a new system to detect the object from an input image. The proposed system first uses the separability filter proposed by Fukui and Yamaguchi (Trans. IEICE Japan J80-D-II. 8, 2170-2177, 1997) to ...
    • Object detection using geometric invariant moment 

      Mohamed Rizon; Haniza, Yazid; Puteh, Saad; Ali Yeon, Md Shakaff, Prof. Dr.; Abdul Rahman, Saad; Mohd Rozailan, Mamat; Sazali, Yaacob, Prof. Dr.; Hazri, Desa, Dr.; Karthigayan, M. (Science Publications, 2006)
      Geometric moment invariant produces a set of feature vectors that are invariant under shifting, scaling and rotation. The technique is widely used to extract the global features for pattern recognition due to its discrimination ...
    • Personalized human emotion classification using genetic algorithm 

      Mohd Rizon; Hazry, Desa; Karthigayan, M.; Nagarajan, Ramachandran; Alajlan, N.; Sazali, Yaacob, Prof. Dr.; Nor Azmi, Johari; Ina Suryani, Ab Rahim (Institute of Electrical and Elctronics Engineering (IEEE), 2009-07-05)
      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. ...