About Mr. Mohd Azri Bin Abd Aziz

Mr. Mohd Azri Bin Abd Aziz is currently a Teaching Engineers at Faculty of Electrical Engineering Technology, Universiti Malaysia Perlis

He was formerly from School of Mechatronic Engineering

ORCID ID: https://orcid.org/0000-0001-6679-039X

Scopus Author ID: 57192086971

Email: Mohd Azri Bin Abd Aziz


Research Interests

Pneumatic & Hydraulic System

Automation System

Human-Computer Interaction

Process Control


Recent Submissions

  • 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 ...
  • 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, ...
  • 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 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 ...
  • 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 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 ...
  • Development of gesture database for an adaptive gesture recognition system 

    Mohd Azri, Abd Aziz; Khairunizam, Wan; Shahriman, Abu Bakar; Siti Khadijah, Za'ba; Abdul Halim, Ismail; Zuwairie, Ibrahim; Mohd Saberi, Mohamad (Universiti Malaysia Perlis (UniMAP)School of Mechatronic Engineering, 2012-02-27)
    The use of human motions for the interaction between humans and computers is becoming an attractive alternative, especially through the visual interpretation of the human body motion. In particular, hand gesture is used ...
  • Gesture recognition based on hand postures and trajectories by using dataglove: A fuzzy probability approach – A review 

    Wan Khairunizam, Wan Ahmad, Dr; Nazrul Hamizi, Adnan; Shahriman, Abu Bakar, Dr.; Siti Khadijah, Za’ba, Dr.; Mohd Azri, Abd Aziz (Universiti Malaysia Perlis (UniMAP)School of Mechatronic Engineering, 2012-02-27)
    Many deaf people communicate with hearing people either through interpreter or text writing. However, some of them are able to use sign language (SL). SL is a language which determines a form of nonverbal communication ...