Now showing items 1-3 of 3

    • 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 ...
    • 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 ...
    • 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 ...