Browsing School of Mechatronic Engineering (Articles) by Author "Wan Khairunizam, Wan Ahmad, Dr."

Now showing items 1-15 of 15

    • Accurate and effective method to smoothen grasping force signal of glovemap using gaussian filter 

      Nazrul Hamizi, Adnan; Wan Khairunizam, Wan Ahmad, Dr.; Zuradzman, Mohamad Razlan, Dr.; Juliana Aida, Abu Bakar, Dr.; Mohd Azri, Abd Aziz; M. Hazwan, Ali (IJENS Publishers, 2013-06)
      This paper presents the use of Gaussian filtering method to smoothen the grasping force signals by using computational Gaussian Algorithm. The finger grasping force signals are measured using a low cost DataGlove called ...

    • Accurate measurement of the force sensor for intermediate and proximal phalanges of index finger 

      Wan Khairunizam, Wan Ahmad, Dr.; Shahriman, Abu Bakar, Dr.; Nazrul H., Adnan (Foundation of Computer Science, 2012-05)
      In this research paper, the study for grip force on the maximum level of the various materials handling griper can be evaluate at an effective maximum isometric strength especially for intermediate and proximal phalanges ...

    • Analysis of finger movement by using motion information from glovemap and motion capture system 

      Moustafa Hazwan, Ali; Wan Khairunizam, Wan Ahmad, Dr.; Nazrul Hamizi, Adnan; Y. C, Seah; Juliana Aida, Abu Bakar, Dr.; Zuradzman, Mohamad Razlan, Dr. (IJENS Publishers, 2013)
      Nowadays, through the advancement of science and technology, possibility of human finger provide information into computer is no longer question. Fingers movement and hand motion continuously being center of research in ...

    • A Binary Particle Swarm Optimization Approach to Optimize assembly sequence planning 

      Jameel Abdulla, Ahmed Mukred; Zuwairie, Ibrahim, Dr.; Ismail R., Ibrahim; Asrul, Adam; Wan Khairunizam, Wan Ahmad, Dr.; Zulkifli, Md Yusof; Norrima, Mokhtar, Dr. (American Scientific Publishers, 2012-06)
      This paper presents an approach of applying Binary Particle Swarm Optimization (BPSO) algorithm to an assembly sequence-planning (ASP) problem. Permutation encoding of sequences is used to represent particles, then those ...

    • Clustering analysis of human finger grasping based on SOM neural network model 

      Nazrul H., Adnan; Wan Khairunizam, Wan Ahmad, Dr.; Shahriman, Abu Bakar, Dr.; Juliana Aida, Abu Bakar (IJENS Publishers, 2014)
      SOM (Self-organizing Maps) model was introduced to cluster and analyse on the human grasping activities of GloveMAP based on data reduction of the initial grasping data.By acquiring the data reduction of the initial hand ...

    • Computational fluid dynamic analysis of the effect of kink conduit in microvascular vein grafting 

      Rahman Yahya, M.N.; Shahriman Abu Bakar, Dr.; Siti Khadijah, Za'aba, Dr.; Sharifah Roohi, Syed Waseem Ahmad; Wan Khairunizam, Wan Ahmad, Dr.; Mohd Nasir, Ayob; Abdul Halim, Ismail (IJENS Publishers, 2012)
      Arterial disease of the upper extremity is an uncommon occurance, most commonly caused by atherosclerosis. In some patients with arterial disease, surgical bypass by vein grafting or vein interposition may be performed. ...

    • Design of an automated breast cancer masses detection in mammogram using cellular neural network (CNN) algorithm 

      Ling, Sim Choon; Azian Azamimi, Abdulah; Wan Khairunizam, Wan Ahmad, Dr. (American Scientific Publishers, 2014-01)
      An automation system using Cellular Neural Network (CNN) algorithm is proposed to assist the radiologists' task in interpreting the digital mammogram image for detecting the presence of breast masses abnormalities. Mammogram ...

    • Electrocardiogram-based emotion recognition system using empirical mode decomposition and discrete fourier transform 

      Jerritta, S.; Murugappan, Muthusamy, Dr.; Wan Khairunizam, Wan Ahmad, Dr.; Sazali, Yaacob, Prof. Dr. (John Wiley & Sons, Inc., 2014)
      Emotion recognition using physiological signals has gained momentum in the field of human computer–interaction. This work focuses on developing a user-independent emotion recognition system that would classify five emotions ...

    • Emotion recognition from facial EMG signals using higher order statistics and principal component analysis 

      Selvaraj, Jerritta; Murugappan, Muthusamy, Dr.; Wan Khairunizam, Wan Ahmad, Dr.; Sazali, Yaacob, Prof. Dr. (Taylor & Francis, 2014-04)
      Higher order statistics (HOS) is an efficient feature extraction method used in diverse applications such as bio signal processing, seismic data processing, image processing, sonar, and radar. In this work, we have ...

    • Frequency study of facial electromyography signals with respect to emotion recognition 

      Selvaraj, Jerritta; Murugappan, Muthusamy, Dr.; Wan Khairunizam, Wan Ahmad, Dr.; Sazali, Yaacob, Prof. Dr. (Walter de Gruyter GmbH, 2014-01)
      Emotional intelligence is one of the key research areas in human-computer interaction. This paper reports the development of an emotion recognition system using facial electromyogram (EMG) signals focusing the ambiguity ...

    • Gesture recognition based on bayesian inference of distributed arm trajectory 

      Wan Khairunizam, Wan Ahmad, Dr.; Mohd Azri, Abd Aziz; Siti Khadijah, Za'aba, Dr.; Shahriman, Abu Bakar, Dr.; Nasir, Ayob; Azian Azamimi, Abdullah; Zuradzman, Mohd Razlan (American Scientific Publishers, 2014-01)
      The use of human gestures has become an important part of human-computer interaction (HCI) and is receiving more and more attentions in the recent years, which allows users to communicate with machines in the natural way, ...

    • Gesture recognition based on the probability distribution of arm trajectories 

      Wan Khairunizam, Wan Ahmad, Dr.; Hideyuki, Sawada (The Society of Instrument and Control Engineers, 2009-09)
      The use of human motions for the interaction between humans and computers is becoming an attractive alternative to verbal media, especially through the visual interpretation of the human body motion. In particular, hand ...

    • Infant cry classification to identify asphyxia using time-frequency analysis and radial basis neural networks 

      Muthusamy, Hariharan; Jeyaraman, Saraswathy; Sindhu, Ravindran; Wan Khairunizam, Wan Ahmad, Dr.; Sazali, Yaacob, Prof. Dr. (Elsevier Ltd, 2012-08)
      A cry is the first verbal communication of infants and it is described as a loud, high-pitched sound made by infants in response to certain situations. Infant cry signals can be used to identify physical or psychological ...

    • Principle component analysis for the classification of fingers movement data using dataglove "glovemap" 

      Nazrul H., Adnan; Wan Khairunizam, Wan Ahmad, Dr.; Shahriman, Abu Bakar, Dr.; Juliana Aida, Abu Bakar (International Association for Engineeering and Management Education, 2013-03)
      Nowadays, many classifier methods have been used to classify or categorizehuman body motions of human posture including the classification of fingers movement. Principal Component Analysis (PCA) is one of classical method ...

    • Theoretical approach on vein graft survival: Simulation on vein graft 

      Muhd Nur Rahman, Yahya; Shahriman Abu Bakar, Dr.; Siti Khadijah, Za'aba, Dr.; Sharifah Roohi, Syed Waseem Ahmad; Wan Khairunizam, Wan Ahmad, Dr. (Inderscience Enterprises Ltd., 2013)
      Artery reconstruction in upper extremities is rare performed compared to artery reconstruction in lower extremities. Primary vascular repair was performed in many cases. An interposition vein graft or venous bypass grafting ...