Now showing items 205-224 of 251

    • Reckoning of facial grimacing scheme for patient agitation in critical care 

      Muhammad Naufal, Mansor; Sazali, Yaacob, Prof. Dr.; Nagarajan, Ramachandran, Prof. Dr. (Science Academy Publisher, 2011-03)
      Reckoning patient grimacing in Intensive Care Unit (ICU) is a crucial demand in checking routine procedure. Despite of detecting any physical change in the body of the patient, medical staff has to go up and down to the ...
    • Recognition of motor imagery of hand movements for a BMI using PCA features 

      Hema, Chengalvarayan Radhakrishnamurthy; Paulraj, Murugesapandian; Sazali, Yaacob; Abd Hamid, Adom; Ramachandran, Nagarajan (Institute of Electrical and Electronics Engineering (IEEE), 2008-12-01)
      Motor imagery is the mental simulation of a motor act that includes preparation for movement and mental operations of motor representations implicitly or explicitly. The ability of an individual to control his EEG through ...
    • Recognition of speech processing based on arabic pronunciation: A review 

      N.S.Z. Zainon; Muhamad Asmi, Romli; Sazali, Yaacob, Prof. Dr.; Zahari, Awang Ahmad (Universiti Malaysia Perlis (UniMAP), 2012-06-18)
      This paper come out with a review on the speech processing research based on Arabic words. It aim to give a better review on the speech processing based on the Arabic words focusing on the specialty of the language due to ...
    • Review on interaction between electromagnetic field and biological tissues 

      Zulkarnay, Zakaria; Ruzairi, Abdul Rahim, Prof. Dr.; Lee, Pick Yern; Muhammad Saiful Badri, Mansor; Azian Azamimi, Abdullah; Sazali, Yaacob, Prof. Dr.; Siti Zarina, Mohd Muji (International Frequency Sensor Association (IFSA), 2012)
      The objective of this paper is to have a look on the interaction of electromagnetic field (EM) on biological tissue from the view of physiological and electrical engineering. The understanding of the phenomena in the ...
    • A review on stress inducement stimuli for assessing human stress using physiological signals 

      P., Karthikeyan; Murugappan, M., Dr.; Sazali, Yaacob, Prof. Dr. (Institute of Electrical and Electronics Engineers (IEEE), 2011-03-04)
      Assessing human stress in real-time is more difficult and challenging today. The present review deals about the measurement of stress in laboratory environment using different stress inducement stimuli by the help of ...
    • A review: Malay speech recognition and audio visual speech recognition 

      C., Y. Fook; Muthusamy, Hariharan, Dr.; Sazali, Yaacob, Prof. Dr.; Abdul Hamid, Adom, Prof. Madya. Dr. (Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)
      Automatic speech recognition (ASR) is an area of research which deals with the recognition of speech by machine in several conditions. ASR performs well under restricted conditions (quiet environment), but performance ...
    • Robot chair control using an asynchronous brain machine 

      Hema, Chengalvarayan Radhakrishnamurthy; Paulraj, Murugesa Pandiyan, Assoc. Prof.; Sazali, Yaacob, Prof. Dr.; Abd Hamid, Adom, Assoc. Prof. Dr.; Nagarajan, Ramachandran (Institute of Electrical and Electronics Engineers (IEEE), 2010-05-21)
      Robot chair control using an asynchronous brain machine interface (ABMI) based on motor imagery requires sufficient subject training. This paper proposes a generalized a brain machine interface design to investigate the ...
    • Segmentation and location computation of bin objects 

      Hema, Chengalvarayan Radhakrishnamurthy; Paulraj, Murugesapandian; Ramachandran, Nagarajan; Sazali, Yaacob (Ars International, 2007)
      In this paper we present a stereo vision based system for segmentation and location computation of partially occluded objects in bin picking environments. Algorithms to segment partially occluded objects and to find the ...
    • A simple sign language recognition system using affine moment blur invariant features 

      Rajkumar, Palaniappan; Paulraj, Murugesa Pandiyan, Assoc. Prof. Dr.; Sazali, Yaacob, Prof. Dr.; Mohd Shuhanaz, Zanar Azalan (Universiti Malaysia Perlis (UniMAP)Centre for Graduate Studies, 2010-10-16)
      Sign language recognition is one of the most promising sub-fields in gesture recognition research. Effective sign language recognition would grant the deaf and hard-of-hearing expanded tools for communicating with both ...
    • Simulation on using cross-correlation technique for two-phase liquid/gas flow measurement for Ultrasonic Transmission Tomography 

      Nor Muzakkir, Nor Ayob; Sazali, Yaacob, Prof. Dr.; Zulkarnay, Zakaria; Mohd Hafiz, Fazalul Rahiman; Ruzairi, Abd Rahim (Institute of Electrical and Electronics Engineers (IEEE), 2010-05-21)
      Combining Ultrasonic Transmission Tomography (UTT) with the cross-correlation flow measurement technique can provide more information on the flow than usual. A simulated dual-plane UTT system for use on laboratory and ...
    • Simultaneous localization and map building – a guided tour 

      Low, William; Nagarajan, R.; Sazali, Yaacob (Universiti Malaysia Perlis, 2009-10-11)
      Simultaneous Localization and Mapping (SLAM) has been one of the active research areas in robotic community for the past decade of years. SLAM addresses the problem of a robot navigating and building a map of an ...
    • Single trial motor imagery classification for a four state brain machine interface 

      Hema, Chengalvarayan Radhakrishnamurthy; Paulraj, Murugesapandian; Sazali, Yaacob; Abdul Hamid, Adom; Ramachandran, Nagarajan (Institute of Electrical and Electronics Engineering (IEEE), 2009-03-06)
      Motor imagery is the mental simulation of a motor act which can be used to design brain machine interfaces [BMI]. A BMI is a digital communication system, which connects the human brain directly to an external device ...
    • Speaker accent recognition through statistical descriptors of Mel-bands spectral energy and neural network model 

      Yusnita, Mohd Ali; Pandiyan, Paulraj Murugesa, Prof. Dr.; Sazali, Yaacob, Prof. Dr.; Shahriman, Abu Bakar, Dr.; Nataraj, Sathees Kumar (IEEE Conference Publications, 2012-10)
      Accent recognition is one of the most important topics in automatic speaker and speaker-independent speech recognition (SI-ASR) systems in recent years. The growth of voice-controlled technologies has becoming part of our ...
    • Speech emotion recognition using kNN classifier 

      M. N., Hasrul; Hariharan, Muthusamy; Sazali, Yaacob, Prof. Dr. (Universiti Malaysia Perlis (UniMAP), 2012-06-18)
      There are many methods that are commonly used by researches in order to recognize speech of human emotion. In this paper, Surrey audio-visual expressed emotion (SAVEE) database are used for the analysis. The Mel-Frequency ...
    • A speech recognition system for Malaysian English pronunciation using Neural Network 

      Paulraj, M.P.; Sazali, Yaacob; Ahamad Nazri; Sathees Kumar (Universiti Malaysia Perlis, 2009-10-11)
      The English language as spoken by Malaysians varies from place to place and differs from one ethnic community and its sub-group to another. In this paper, an automatic vowel classification system based on linear predictive ...
    • Speech stuttering assessment using sample entropy and Least Square Support Vector Machine 

      Muthusamy, Hariharan, Dr.; Vijean, Vikneswaran; Chong, Yen Fook; Sazali, Yaacob, Prof. Dr. (Institute of Electrical and Electronics Engineers (IEEE), 2012-03)
      This work is intended to discuss the performance of sample entropy feature for the recognition of stuttered events. The data for the analysis is taken from the UCLASS database. Manual segmentation is performed to identify ...
    • Statistical formant descriptors with linear predictive coefficients for accent classification 

      Yusnita, Mohd Ali; Pandiyan, Paulraj Murugesa , Prof. Dr.; Sazali, Yaacob, Prof. Dr.; Shahriman, Abu Bakar, Dr.; Nor Fadzilah, Mokhtar (Institute of Electrical and Electronics Engineers (IEEE), 2013-06)
      Accent is a special trait of human speech that can deliver some information about a speaker's background. At the same time it is one of the profound factors that affects the intelligibility and performance of speech ...
    • Statistical time energy based damage detection in steel plates using artificial neural networks 

      Paulraj, Murugesa Pandiyan, Prof. Madya; Mohd Shukri, Abdul Majid; Sazali, Yaacob, Prof. Dr.; Mohd Hafiz, Fazalul Rahiman; Krishnan, R. P. (Institute of Electrical and Elctronics Engineering (IEEE), 2009-03-06)
      In this paper, a simple method for crack identification in steel plates based on statistical time energy is presented. A simple experimental procedure is also proposed to measure the vibration at different positions of a ...
    • Steel plate damage diagnosis using probabilistic neural network 

      Paulraj, Murugesa Pandiyan, Prof. Dr.; Sazali, Yaacob, Prof. Dr.; Mohd Shukry, Abdul Majid, Dr.; Krishnan, Pranesh (IEEE Conference Publications, 2013-01)
      This paper discusses the application of frame energy based DFT spectral band features for the detection of damages in steel plates. A simple experimental model is devised to suspend the steel plates in a free-free condition. ...
    • Stereo Sensors-based Object Segmentation and Location for a Bin Picking Adept SCARA Robot 

      Hema, Chengalvarayan Radhakrishnamurthy; Paulraj, Murugesapandian; Ramachandran, Nagarajan; Sazali, Yaacob (Universiti Malaysia Perlis, 2007)
      In this paper we present a stereo vision system for segmentation of partially occluded objects and computation of object grasping point in bin picking environments. The stereo vision system was interfaced with an Adept ...