Now showing items 41-51 of 51

    • 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 ...
    • Backpropagation algorithm for rice yield prediction 

      Puteh, Saad; Mohamed Rizon, Mohamed Juhari; Nor Khairah, Jamaludin; Siti Sakira, Kamarudin; Aryati, Bakri; Nursalasawati, Rusli (Oita University, 2004-01-28)
      Parameters that affect rice yield are many, for instance diseases, pests and weeds. Statistical or mathematical model is unable to describe the correlation between plant diseases, pests and weeds on the amount of rice ...
    • Remote control of Autonomous Robots via Internet 

      Sugisaka, M.; Mohamed Rizon, Mohamed Juhari (King Mongkut’s Institute of Technology Ladkrabang (KMITL), 2004-08-25)
      This paper describes the method how to control an autonomous robot remotely using Internet. The autonomousrobot that has an artificial brain is called “Tarou”. (1) It is able to move along the line on the floor based on ...
    • Various Recognition approach in human faces 

      Karthigayan, M.; Mohd Rizon, Mohamed Juhari; Sazali, Yaacob; Nagarajan, R.; Puteh, Saad; Muhammed Firdaus, Hashim; Haniza, Yazid (Universiti Teknologi Petronas (UTP), 2005-12-01)
      In this paper, we review researches on human faces from aspect offace recognition and face detection. Face emotion recognition are also reviewed. The study of human faces has much assistance on computer vision and machine ...
    • 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 ...
    • 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 ...
    • Control of Omni-Directional Mecanum wheel mobile Robot and analysis of Artificial Muscle 

      Mohamedd Rizon, Mohamed Juhari, Prof Madya Dr.; Jefri Efendi, Mohd Salih; Mohammad Hanif, Abdul Hamid (Kolej Universiti Kejuruteraan Utara Malaysia (KUKUM), 2006)
      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 ...
    • Robotics safety issues for human welfare in an automated manufacturing system 

      Bhuvenesh, Rajamony, Dr.; Mohamed Rizon, Mohamed Juhari, Dr. (Oita University, 2006-01-23)
      The high degree of automation, that until recently was reserved for mass production only, is applied now, with the aid of robots and computer, also to small batches. This requires a change from hard automation in the production ...
    • Face recognition using neural network 

      Azlan Zainul (Universiti Malaysia PerlisSchool of Mechatronic Engineering, 2008-03)
      This dissertation provides a study of camera-based face recognition research. There are two underlying motivations to conduct this project: the first is to study and analyze type of feature extraction method, and the second ...
    • Embedded Networked Sensing System 

      R. Badlishah, Ahmad, Assoc. Prof. Dr.; Mohamad Rizon, Mohamed Juhari, Assoc. Prof. Dr.; Wan Muhamad Azmi, Mamat; Ahmad Nasir, Che Rosli; Shuhaizar, Daud; Abdul Halis, Abdul Aziz; Intan Shafinaz, Mohammad; Nurfarhana, Maamor (School of Computer & Communication Engineering, 2008-01-09)
      Develop a reliable data acquisition sensing system based on 32 bit single board computer using Linux which collect analog sensor's input and store on server.