Browsing Kenneth Sundaraj, Assoc. Prof. Dr. by Title

Now showing items 58-77 of 115

    • Image processing on facial paralysis for facial rehabilitation system: a review 

      Wan Syahirah, Wan Samsudin; Sundaraj, Kenneth, Prof. Dr. (IEEE Conference Publications, 2012)
      Image processing has been used widely in many areas but limited in facial rehabilitation area. Facial paralysis has been concerned recently due to the importance of face-to-face communication in our daily life. Patient ...

    • Inter-hemispheric EEG coherence analysis in Parkinson's disease: Assessing brain activity during emotion processing 

      Yuvaraj, Rajamanickam; Murugappan, Muthusamy, Dr.; Norlinah, Mohamed Ibrahim, Dr.; Sundaraj, Kenneth, Prof. Dr.; Mohammad Iqbal, Omar@Ye Htut, Assoc. Prof. Dr.; Khairiyah, Mohamad; Palaniappan, Ramaswamy; Satiyan, Marimuthu (Springer-Verlag Wien, 2014-06)
      Parkinson's disease (PD) is not only characterized by its prominent motor symptoms but also associated with disturbances in cognitive and emotional functioning. The objective of the present study was to investigate the ...

    • Intra-operative CT-Free examination system for anterior cruciate ligament reconstruction 

      Sundaraj, Kenneth, Prof. Dr.; Laugier, Christian; De Casson, F. Boux (IEEE Conference Publications, 2003)
      Computer assisted navigation and biomechanical modeling have made surgical simulation a new domain of research in the last decade. In this paper, we focus on assisting the surgeon to manage anterior cruciate ligament (ACL) ...

    • Investigation of facial artifacts on face biometrics using eigenface based single and multiple neural networks 

      Sundaraj, Kenneth (World Scientific and Engineering Academy and Society (WSEAS) Press, 2009)
      Biometrics has been an important issue pertaining to security in the last few decades. Departments or agencies entrusted with national security are increasingly installing surveillance cameras in strategic or critical areas ...

    • Machine learning in lung sound analysis: a systematic review 

      Palaniappan, Rajkumar; Sundaraj, Kenneth, Prof. Dr.; Nizam Uddin, Ahamed (Elsevier Ltd., 2013)
      Machine learning has proven to be an effective technique in recent years and machine learning algorithms have been successfully used in a large number of applications. The development of computerized lung sound analysis ...

    • Mechanical design for nonholonomic car-like mobile platform 

      Khairulnizam, Othman; K. Sundaraj (Universiti Malaysia Perlis, 2009-10-11)
      This paper descibes the first phase in development of the non-holonomic Car-Like Mobile Platform (CLMP), within this context, we are interested in mechanical design and fabricate a small mobole platform, car-type steering. ...

    • Mechanomyogram for muscle function assessment: a review 

      Md Anamul, Islam; Sundaraj, Kenneth, Prof. Dr.; R. Badlishah Ahmad, Prof. Dr.; Nizam Uddin, Ahamed (Public Library of Science, 2013)
      Background: Mechanomyography (MMG) has been extensively applied in clinical and experimental practice to examine muscle characteristics including muscle function (MF), prosthesis and/or switch control, signal processing, ...

    • Mechanomyographic application for automatic rehabilitation system on tennis elbow muscles 

      Md. Anamul, Islam; Sundaraj, Kenneth, Prof. Dr.; R. Badlishah, Ahmad, Prof. Dr.; Nizam Uddin, Ahamed (Universiti Malaysia Perlis (UniMAP), 2012-06-18)
      Elbow muscles (brachiradialis and brachialis) injury is one of the major muscle disorders caused by accident or excessive use of it. People with such disorders more often undergo for treatment under physiotherapist. ...

    • Mechanomyography sensor development, related signal processing, and applications: A systematic review 

      Md. Anamul, Islam; Sundaraj, Kenneth, Prof. Dr.; R. Badlishah Ahmad, Prof. Dr.; Nizam Uddin, Ahamed; Md. Asraf, Ali (IEEE Conference Publications, 2013)
      Mechanomyography (MMG) is extensively used in the research of sensor development, signal processing, characterization of muscle activity, development of prosthesis and/or switch control, diagnosis of neuromuscular disorders, ...

    • Mechanomyography sensors for muscle assessment: a brief review 

      Md. Anamul, Islam; Sundaraj, Kenneth, Assoc. Prof. Dr.; R. Badlishah, Ahmad, Prof. Dr.; Nizam Uddin, Ahamed; Asraf, Ali (Society of Physical Therapy Science, 2012)
      [Purpose] There are three mechanomyography terminologies that are commonly used: acoustic myography, vibromyography, and phonomyography. There is no clear evidence concerning the sensors used among these terminologies. ...

    • Methods and approaches on emotions recognition in neurodegenerative disorders: a review 

      Yuvaraj, Rajamanickam; Murugappan, M; Sundaraj, Kenneth, Prof. Dr. (IEEE Conference Publications, 2012)
      Emotion is one of the key factors for estimating the human behavior through verbal or non-verbal communication. Development of emotion recognition system gains a major attention in several applications, mainly in brain ...

    • Modeling and simulation of trajectory for a nonholonomic car-like mobile platform 

      Zamzamir, Said; Sundaraj, Kenneth, Prof. Dr. (IEEE Conference Publications, 2011)
      This paper briefly discusses about the physical properties of a mobile platform. In recent years, vehicles that move autonomously have received a good deal of attention where the US federal government through its various ...

    • Monocular vision system development for depth estimation 

      Mohd Nadhir, A. Wahab; Sivadev, Nadarajah; Nilavarasan, P; Poo, T.S.; Sundaraj, Kenneth, Prof. Dr. (IEEE Conference Publications, 2011)
      Vision system could enhance the mobile robot applications and features. However, the vision system could also improve the overall system of mobile robot so as to contain higher complexity with the purpose to be reliable, ...

    • A new algorithm for computing minimum distance 

      Sundaraj, Kenneth, Prof. Dr.; d'Aulignac, D; Mazer, E (IEEE Conference Publications, 2000)
      This paper presents a new algorithm for computing the minimum distance between convex polyhedras. The algorithm of Gilbert-Johnson-Keerthi (GJK) and the algorithm of Lin-Canny (LC) are well-known fast solutions to the ...

    • Non-invasive electromyography-based fatigue detection and performance analysis on m. biceps brachii muscle 

      Nizam Uddin, Ahamed; Sundaraj, Kenneth, Prof. Dr.; R. Badlishah, Ahmad, Prof. Dr.; Matiur J., Rahman; Md. Anamul, Islam; Asraf, Ali (IEEE Conference Publications, 2013)
      Muscle fatigue occurs most frequently due to repetitive movements in our day-to-day activities. The powerful use of muscles might cause a decline in performance. In this study, the effects of muscle fatigue involving only ...

    • On the analysis of EEG power, frequency and asymmetry in Parkinson's disease during emotion processing 

      Yuvaraj, Rajamanickam; Murugappan, M., Dr.; Norlinah, Mohamed Ibrahim; Mohd Iqbal, Omar@Ye Htut, Assoc. Prof. Dr.; Sundaraj, Kenneth, Prof. Dr.; Khairiyah, Mohamad; Palaniappan, Ramaswamy; Mesquita, Edgar; Satiyan, Marimuthu (BioMed Central Ltd., 2014-03)
      Objective: While Parkinson's disease (PD) has traditionally been described as a movement disorder, there is growing evidence of disruption in emotion information processing associated with the disease. The aim of this study ...

    • PCB inspection for missing or misaligned components using background subtraction 

      Sundaraj, Kenneth (World Scientific and Engineering Academy and Society (WSEAS) Press, 2009)
      Automated visual inspection (AVI) is becoming an integral part of modern surface mount technology (SMT) assembly process. This high technology assembly, produces printed circuit boards (PCB) with tiny and delicate electronic ...

    • Physically realistic simulation of large deformations using LEM for interactive applications 

      Sundaraj, Kenneth, Prof. Dr.; Laugier, Christian (IEEE Conference Publications, 2002)
      This paper presents the modification to LEM - Long Element Method to simulate large deformations. We are interested us deformable objects filled with some incompressible fluid By large deformations, we mean deformations ...

    • Real-time background subtraction using adaptive thresholding and dynamic updating for biometric face detection 

      Sundaraj, Kenneth (World Scientific and Engineering Academy and Society (WSEAS), 2008)
      Face biometrics is an automated method of recognizing a person's face based on a physiological or behavioral characteristic. Face recognition works by first obtaining an image of a person. This process is usually known as ...

    • Real-time face detection using dynamic background subtraction 

      Sundaraj, Kenneth, Prof. Dr. (World Scientific and Engineering Academy and Society, 2008)
      Face biometrics is an automated method of recognizing a person’s face based on a physiological or behavioral characteristic. Face recognition works by first obtaining an image of a person. This process is usually known ...