Browsing Mohd. Rizon Mohamed Juhari, Prof. Ir. Dr. by Issue Date

Now showing items 21-40 of 51

    • 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.

    • A design of Omni-Directional for Mobile Robot 

      Jefri Efendi, Mohd Salih; Mohamedd Rizon, Mohamed Juhari; Sazali, Yaacob; Abdul Hamid, Adom (Kolej Universiti Kejuruteraan Utara Malaysia, 2006-06-15)
      This paper presents the processes undertaken in the design and development of an intelligent omni-directional mobile robot using four custom-made mecanum wheels. The mecanum wheel developed consists of nine rollers made ...

    • Materials strength analysis for Artificial Muscles 

      Ramesh, Ramasamy; Mohamed Rizon, Mohamed Juhari; Mohd Rozailan, Mamat; Sazali, Yaacob; Sugisaka, Masanori (Kolej Universiti Kejuruteraan Utara Malaysia, 2006-06-15)
      The intention of this article is to introduce and overview Pneumatic Artificial Muscles (PAMs) as whole and to discuss on its numerical modelling, namely the development of a mathematical model, to understand more on its ...

    • Multiple objects detection using Separability Filter and Circular Hough Transform 

      Haniza, Yazid; Mohamed Rizon, Mohamed Juhari; Puteh, Saad; Ali Yeon, Md Shakaff; Sazali, Yaacob; Abdul Rahman, Mohd. Saad; Sugisaka, Masanori (Kolej Universiti Kejuruteraan Utara Malaysia, 2006-06-15)
      In this paper 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 to obtain the best object candidates and second, the ...

    • 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. ...

    • 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 ...

    • Circular discontinuities detection in welded joints using Circular Hough Transform 

      Hafizal, Yazid; Haniza, Yazid; Mohd Harun; Shukri Mohd; A. Aziz, Mohamed; Mohamed Rizon, Mohamed Juhari; Shaharudin, Sayutia (Elsevier B.V., 2007)
      Conventional radiography is one of the common non-destructive testing which employs manual image interpretation. The interpretation is very subjective and depends much on the inspector experience and working conditions. ...

    • 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 ...

    • 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 ...

    • 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. ...

    • 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)

    • 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 Reader Using Single Board Computer & GNU-Linux 

      Ali Yeon, Md. Shakaff, Prof. Dr.; R. Badlishah, Ahmad, Assoc. Prof. Dr.; Mohd Rizon, Mohamed Juhari, Assoc. Prof. Dr.; Ahmad Nasir, Che Rosli; Wan Muhammad Azmi, Mamat (Malaysian Invention and Design Society (MINDS), 2007-05-18)
      Embedded system for biometric identification based on iris detection.

    • A comparison of circular object detection using Hough transform and chord intersection 

      Mohamed Rizon, Mohamed Juhari; Haniza, Yazid; Puteh, Saad (Institute of Eelectrical and Electronics Engineering (IEEE), 2007-07)
      In this paper, the circular Hough transform (CHT) and the chord intersection have been used to find the circular object in the feature extraction process. The chord intersection technique does not require any gradient ...

    • 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 ...

    • Bioi2D-Wireless Embedded System for Biometric Identification Based on Iris Detection 

      Ali Yeon, Md Shakaff, Prof. Dr.; R. Badlishah, Ahmad, Prof. Madya Dr.; Mohd Rizon, Mohamed Juhari, Prof. Madya Dr.; Ahmad Nasir, Che Rosli; Wan Muhamad Azmi, Mamat (Kementerian Pengajian Tinggi Malaysia (KPTM), 2007-08-10)
      Biometrics refers to automatic identification of a person based on his or her physiological or behavioral characteristics which provides a reliable and secure user authentification for the increased security requirements ...

    • 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. ...

    • 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- ...

    • Automated face localization and facial features detection using geometric information 

      Chai, Tong Yuen; Mohd Rizon, Mohamed Juhari, Prof. Dr.; Karthigayan, M.; Sugisaka, M.; Hazry, Desa, Dr.; Ibrahim, Z. (Malaysia-Japan University Center (MJUC), 2007-11-12)
      This paper presents algorithms to detect irises of both eyes and mouth from color and intensity images and extracts intensity valleys from the race region. Next, the algorithm extracts iris candidates from the valleys and ...

    • Asymmetric ratio and FCM based salient channel selection for human emotion detection using EEG 

      Mohamad Rizon, Mohamed Juhari; Murugappan, M.; Ramachandran, Nagarajan; Sazali, Yaacob (World Scientific abd Engineering Academy and Scoiety (WSEAS), 2008)
      Electroencephalogram (EEG) is one of the most reliable physiological signals used for detecting the emotional states of human brain. We propose Asymmetric Ratio (AR) based channel selection for human emotion recognition ...