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

Now showing items 1-4 of 4

    • Development of gesture database for an adaptive gesture recognition system 

      Mohd Azri, Abd Aziz; Wan Khairunizam, Wan Ahmad; Siti Khadijah, Zaaba; Shahriman, Abu Bakar, Dr.; Nazrul Hamizi, Adnan; Rudzuan, Mohd Nor (IJENS Publishers, 2012-08)
      The application of human gesture for the interaction between humans and computers is becoming an impressive alternative. Particularly, hand gesture is used as a non-verbal communication between human and machines. Most ...

    • 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 ...

    • An improved defect classification algorithm for six printing defects and its implementation on real printed circuit board images 

      Ismail, Ibrahim; Zuwairie, Ibrahim; Kamal, Khalil; Musa, Mohd Mokji; Syed Abdul Rahman, Syed Abu Bakar; Norrima, Mokhtar; Wan Khairunizam, Wan Ahmad (ICIC International, 2012-05)
      Because decisions made by human inspectors often involve subjective judg- ment, in addition to being intensive and therefore costly, an automated approach for printed circuit board (PCB) inspection is preferred to eliminate ...

    • Probability Distribution of Arm Trajectory for Motion Estimation and Gesture Recognition 

      Wan Khairunizam, Wan Ahmad; Mohd Azri, Abdul Aziz; Shahriman, Abu Bakar; Siti Khadijah, Zaaba; Zuwairie, Ibrahim; Zulkifli, Md Yusof; Ismail, Ibrahim; Jameel Abdulla, Ahmed Mukred; N. Mokhtar (American Scientific Publishers, 2012-06-30)
      In the human motion measurement, motion capture system is used to record the movement of the human body by using different types of sensors such as a magnetic position sensor, a mechanical motion detector and a vision ...