Now showing items 24-43 of 83

    • Effectiveness of a recurrent neural network in emergence of discrete decision making through reinforcement learning 

      Mohamad Faizal, Samsudin; Hazry, Desa, Dr.; Shibata, Katsunari (Universiti Malaysia Perlis (UniMAP), 2012-06-18)
      In a discrete decision making task, using a neural network suffers from the problem of discrete decision making. On the other hand, using a lookup table suffers from the problem in generalization and the curse of dimensionality. ...
    • Electromyography signal based for intelligent prosthesis design 

      Zunaidi, Ibrahim; Ramachandran, Nagarajan, Prof. Dr.; Mohd Rizon, Mohamed Juhari, Prof. Dr.; Hazry, Desa, Dr.; Ruslizam, Daud; Azlin, C. O. (Springer-Verlag, 2008-06-25)
      Electromyography (EMG) is widely used throughout the world for different study such as clinical diagnosis and for movement analysis. One of the applications of EMG is in the development of myoelectric prosthesis. It is ...
    • Emotion detecting humanoid – the use of GPSO Algorithm 

      Bashir, Mohammed Ghandi; Ramachandran, Nagarajan, Prof. Dr.; Hazry, Desa, Assoc. Prof. Dr. (Universiti Malaysia Perlis (UniMAP)Centre for Graduate Studies, 2010-10-16)
      Recently, we implemented a real-time expert system that receives a live video stream of the face of a human subject and recognizes any of the six basic facial emotions expressed by the subject. The expert system ...
    • Experimental and analysis study on glovemap grasping force signal using Gaussian filtering method and principal component analysis (PCA) 

      Nazrul Hamizi, Adnan; Wan Khairunizam, Wan Ahmad, Dr.; Shahriman, Abu Bakar, Dr.; Hazry, Desa, Assoc. Prof. Dr.; Zuradzman, Mohamad Razlan, Dr.; Juliana Aida, Abu Bakar (ICIC International, 2014-06)
      This research paper presents the analysis study of human grasping forces for several objects by using a DataGlove called GloveMAP. The grasping force is generated from the bending of proximal and intermediate phalanges of ...
    • Extracting features of finger bending signal based on parameter of polynomial 

      M. Hazwan, Ali; Wan Khairunizam, Wan Ahmad, Dr.; Nazrul H., Adnan; Zuradzman, Mohamad Razlan, Dr.; Hazry, Desa, Assoc. Prof. Dr. (IJENS Publishers, 2014-02)
      Glove based device has outstandingly archive successfully in nowadays especially in industries, virtual reality, and medical. DataGlove is an interactive device, resembling a glove worn on the hand used to capture physical ...
    • Extraction of head and hand gesture features for recognition of sign language 

      Paulraj, M. P.; Sazali, Yaacob, Prof. Dr.; Hazry, Desa, Assoc. Prof. Dr.; Hema, Chengalvarayan Radhakrishnamurthy; Wan Mohd Ridzuan, Wan Ab Majid (IEEE Conference Publications, 2008)
      Sign language is the primary communication method that impaired hearing people used in their daily life. Sign language recognition has gained a lot of attention recently by researchers in computer vision. Sign language ...
    • 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 ...
    • Facial emotion detection using GPSO and Lucas-Kanade algorithms 

      Bashir, Mohammed Ghandi; Nagarajan, Ramachandran, Prof. Dr.; Hazry, Desa, Prof. Madya Dr. (Institute of Electrical and Electronics Engineers (IEEE), 2010-05-11)
      Emotion detection is receiving a lot of attention from researchers due to its potentials in improving humancomputer interaction. Recently, we proposed a modification to the Particle Swarm Optimization (PSO) algorithm for ...
    • Facial emotion detection using Guided Particle Swarm Optimization (GPSO) 

      Bashir, Mohammed Ghandi; Nagarajan, R.; Hazry, Desa (Universiti Malaysia Perlis, 2009-10-11)
      In this paper, we present a novel approach to human facial emotion detection by applying a modified version of the Particle Swarm Optimization (PSO) algorithm, which we called Guided Particle Swarm Optimization (GPSO). ...
    • A fusion of sensors information for autonomous driving control of an electric vehicle (EV) 

      Hasri, Haris; Wan Khairunizam, Wan Ahmad, Dr.; Hazry, Desa, Assoc. Prof. Dr.; Zuradzman, M Razlan (IOP Publishing Ltd, 2013)
      The study uses the environment of the road as input variables for the main system to control steering wheel, brake and acceleration pedals. A camera is installed on the roof of the Electric Vehicles (EV) and is used to ...
    • Fuzzy clustering for genetic algorithm based optimized ellipse data in classifying face emotion 

      Karthigayan, Muthukaruppan; Mohamed, Rizon; Sazali, Yaacob, Prof. Dr.; Nagarajan, Ramachandran; Sugisaka, Masanori; Mohd Rozailan, Mamat, Prof. Madya Dr.; Hazry, Desa, Assoc. Prof. Dr. (IEEE Conference Publications, 2007)
      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. ...
    • Gesture recognition system for Kod Tangan Bahasa Melayu (KTBM) using neural network 

      Paulraj, Murugesa Pandiyan, Prof. Dr.; Sazali, Yaacob, Prof. Dr.; Hazry, Desa, Assoc. Prof. Dr.; Wan Mohd Ridzuan, Wan Ab Majid (IEEE Conference Publications, 2009)
      This paper presents simple methods for translating Kod Tangan Bahasa Melayu (KTBM) into voice signal based on subject head and two hand gestures. Different gesture signs made by different subjects are captured using a USB ...
    • Glove based Virtual Reality (VR) interaction for the purpose of rehabilitation 

      Aswad A.R; Wan Khairunizam, Wan Ahmad, Dr.; Nazrul Hamizi, Adnan; Shahriman, Abu Bakar, Dr.; Hazry, Desa, Assoc. Prof. Dr.; Zuradzman, Mohamad Razlan, Dr.; Nabilah H.E; M.Hazwan, Ali (American-Eurasian Network for Scientific Information (AENSI), 2014)
      This paper describes the study for interfacing of dataglove with the virtual reality (VR) system for the purpose of the rehabilitation.Dataglove is a device capable of recording hand movements, both the position of the ...
    • GPSO versus GA in facial emotion detection 

      Bashir, Mohammed Ghandi; Ramachandran, Nagarajan, Prof. Dr.; Sazali, Yaacob, Prof. Dr.; Hazry, Desa, Assoc. Prof. Dr. (Universiti Malaysia Perlis (UniMAP)School of Mechatronic Engineering, 2012-02-27)
      We recently proposed a modification to the widely known Particle Swarm Optimization (PSO) algorithm so that it can be applied as a method for facial emotion recognition. We named our proposed modification to PSO as the ...
    • Human skin detections based on balanced skin-color gradient 

      Dr. Abadal-Salam Taha, Hussain, Dr.; Sundaraj, Kenneth, Assoc. Prof. Dr.; Hazry, Desa, Assoc. Prof. Dr. (Universiti Malaysia Perlis (UniMAP), 2012-06-18)
      This paper talks about a new technique and its implementation of a Human Skin Detection algorithm based on balanced skin-color. In human skin detection and segmentation, human skin must be located in the image and then can ...
    • Human-robot interface over the web based intelligent system 

      Hazry, Desa, Assoc. Prof. Dr.; Masanori, Sugisaka; Taki, Yuji (Science Publications, 2006)
      This research extends the capability for the new technology platform by Remote Data Inspection System (RDIS) server from Furukawa Co., Ltd. enabling the integration of standard Hypertext Markup Language (HTML) programming ...
    • An Intelligent Gesture to Voice Communication System for Hearing Impaired 

      Paulraj, M. P. , Prof. Dr.; Sazali, Yaacob, Prof. Dr.; Hazry, Desa, Prof. Madya Dr.; Wan Mohd Ridzuan; Sathees, Kumar; Raj, Kumar; Norasmadi, Abd Rahim (Universiti Malaysia Perlis, 2010-01-07)
      The designed system is accessible and user friendly. This system is primarily designed for deaf, deafened and hard of hearing people to solve their communication problems and gives them the same whole life experience to ...
    • Landmark recognition by using fuzzy approach 

      Mohd Saifizi, Saidon; Hazry, Desa, Assoc. Prof. Dr.; Shafriza Nisha, Basah, Dr.; Mohd Rudzuan, Mohd Nor (Universiti Malaysia Perlis (UniMAP), 2012-06-18)
      This paper describes the development of a vision system for mobile robot control using a combination of fuzzy logic and image processing techniques, enabling the robot to identify objects such as door, marking circle and ...
    • Lifting scheme for human emotion recognition using EEG 

      Murugappan, M., Dr.; Mohd Rizon, Mohamed Juhari; Nagarajan, Ramachandran, Prof. Dr.; Sazali, Yaacob, Prof. Dr.; Ibrahim, Zunaidi; Hazry, Desa, Assoc. Prof. Dr. (IEEE Conference Publications, 2008-08)
      In recent years, the need and importance of automatically recognizing emotions from EEG signals has grown with increasing role of brain computer interface applications. The detection of fine grained changes in functional ...