Now showing items 1-3 of 3

    • Classification of finger grasping by using PCA based on best matching unit (BMU) approach 

      Nazrul Hamizi, Adnan; Wan Khairunizam, Wan Ahmad, Dr.; Shahriman, Abu Bakar, Dr.; Juliana Aida, Abu Bakar (International Association for Engineering and Management Education (IAEME), 2013)
      In this paper we proposed to analyze in depth the thumb, index and middle fingers on the fingertips bending or grasping movement against an objects. The finger movement data are measured using a low cost DataGlove “GloveMAP” ...
    • Extracting features of fingertips bending by using self-organizing map 

      Nazrul Hamizi, Adnan; Wan Khairunizam, Wan Ahmad, Dr.; Shahriman, Abu Bakar, Dr.; Juliana Aida, Abu Bakar (American-Eurasian Network for Scientific Information (AENSI), 2014)
      In this paper the method of Self-Organizing Maps (SOM) is introduced to analyze the human grasping activities of human fingertips bending using the low cost DataGlove called as GloveMAP. The research shows that the ...
    • 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 ...