Now showing items 1-4 of 4

    • 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 ...
    • 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 ...
    • 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 ...
    • 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 ...