Now showing items 1-6 of 6

    • 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 ...
    • The development of a low cost cata glove by using flexible bend sensor for resistive interfaces 

      Nazrul Hamizi, Adnan; Wan Khairunizam, Wan Ahmad, Dr.; Shahriman, Abu Bakar, Dr.; Siti Khadijah, ZA'BA, Dr.; Hazry, Desa, Dr.; Mohd Azri, Abd Aziz (Universiti Malaysia Perlis (UniMAP), 2012-06-18)
      In this paper, the development of a new low cost DataGlove system based on fingertip bending tracking techniques is presented as an alternative to expensive devices. The purpose of the research is to design a robust and ...
    • Development of an adaptive hand gesture database: Motion trajectories cue 

      Mohd Azri, Abd Aziz; Wan Khairunizam, Wan Ahmad, Dr.; Shahriman, Abu Bakar, Dr.; Siti Khadijah, Za'ba, Dr,; Shafriza Nisha, Basah, Dr.; Abdul Halim, Ismail; Nazrul Hamizi, Adnan; Hazry, Desa, Assoc. Prof. Dr.; M. Fadhil, Ramly (Universiti Malaysia Perlis (UniMAP), 2012-06-18)
      The developments of computer technology become more fascinated especially through human-computer interaction (HCI). The visual interpretations and analysis of the human body motion are the intermediary of interaction between ...
    • Development of low cost “GloveMAP” based on fingertip bending tracking techniques for virtual interaction 

      Nazrul Hamizi, Adnan; Wan Khairunizam, Wan Ahmad; Shahriman, Abu Bakar, Dr.; M. Hazwan, Ali; Mohd Nasir, Ayob; Mohd Azri, Abd Aziz (IJENS Publishers, 2012-08)
      Thedevelopment of a new low cost GloveMAP based on fingertip bending tracking techniques for measuring the sign language is presented. Nowadays, the communication between two parties has always been a huge obstacle in the ...
    • 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, ...
    • Measurement of the flexible bending force of the index and middle fingers for virtual interaction 

      Nazrul Hamizi, Adnan; Wan Khairunizam, Wan Ahmad, Dr.; Shahriman, Abu Bakar, Dr.; Siti Khadijah, Zaaba, Dr.; Shafriza Nisha, Basah; Zuradzman, Mohamad Razlan, Dr.; Hazry, Desa, Assoc. Prof. Dr.; Mohd Nasir, Ayob; Mohd Rudzuan, Mohd Nor; Mohd Azri, Abd Aziz (Elsevier Ltd., 2012)
      In this paper the development of a new low cost dataglove based on fingertip bending tracking techniques for measuring the fingers bending on various virtual interaction activities is presented as an alternative to the ...