Now showing items 33-52 of 78

    • Fuzzy k-NN and k-NN algorithm for fast infant cues detection 

      Muhammad Naufal, Mansor; Sazali, Yaacob, Prof. Dr.; Hariharan, Muthusamy, Dr.; Shafriza Nisha, Basah, Dr.; Syahryull Hi-Fi Syam, Ahmad Jamil; Mohd Lutfi, Mohd Khidir; Muhammad Nazri, Rejab; Ku Mohd Yusri, Ku Ibrahim; Addzrull Hi-Fi Syam, Ahmad Jamil; Ahmad Kadri, Junoh; J., Ahmad (Springer Berlin Heidelberg, 2013)
      In this paper, tremble stage assessment is explained and reviewed for detecting facial changes of patient in a hospital in Neonatal Intensive Care Unit (NICU). The facial changes are most widely represented by eyes and ...
    • Human Affective (Emotion) behaviour analysis using speech signals: A review 

      M. N., Hasrul; M, Hariharan, Dr.; Sazali, Yaacob, Prof. Dr. (Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)
      Affective (Emotional) state of a person is very important in medical application due to the fact that it can indicate the stress level of an individual. This can be done through manipulating the speech signal of individual ...
    • A hybrid expert system approach for telemonitoring of vocal fold pathology 

      Hariharan, Muthusamy, Dr.; Kemal, Polatb; Sindhu, Ravindran; Sazali, Yaacob, Prof. Dr. (Elsevier B.V., 2013)
      Acoustical parameters extracted from the recorded voice samples are actively pursued for accurate detection of vocal fold pathology. Most of the system for detection of vocal fold pathology uses high quality voice samples. ...
    • Identification of vocal and voice disorders 

      Murugesa Pandiyan, Paulraj, Prof. Madya Dr.; Sazali, Yaacob, Prof. Dr.; Mohd Rizon, Mohammed Juhari, Prof. Dr.; Sivanandam, S. N.; Muthusamy, Hariharan, Dr. (Universiti Malaysia Perlis (UniMAP), 2007-10-25)
      The discrimination of normal and pathological voices using noninvasive acoustic analysis helps to perform accurate identification of voice disorders and diagnoses of vocal and voice disease. Acoustic analysis is a non- ...
    • Identification of vocal fold pathology based on Mel Frequency Band Energy Coefficients and singular value decomposition 

      Hariharan, Muthusamy; Paulraj, Murugesa Pandiyan, Assoc. Prof.; Sazali, Yaacob, Prof. Dr. (Institute of Electrical and Elctronics Engineering (IEEE), 2009-11-18)
      Many approaches have been developed to detect the vocal fold pathology. Among the approaches, analysis of speech has proved to be an excellent tool for vocal fold pathology detection. This paper presents the Mel Frequency ...
    • Improved back propagation neural network for the diagnosis of pathological voices 

      Paulraj, M.P.; Sazali, Yaacob, Prof. Dr.; Sivanandam, S. N.; Hariharan, Muthusamy (Association for Advancedment of Modelling and Simulation Techniques in Entreprises (A.M.S.E), 2008)
      Most of vocal and voice diseases cause changes in the voice. ENT clinicians use acoustic voice analysis to characterize the pathological voices. Nowadays, voice diseases are increasing dramatically due to unhealthy social ...
    • Infant cry classification to identify asphyxia using time-frequency analysis and radial basis neural networks 

      Muthusamy, Hariharan; Jeyaraman, Saraswathy; Sindhu, Ravindran; Wan Khairunizam, Wan Ahmad, Dr.; Sazali, Yaacob, Prof. Dr. (Elsevier Ltd, 2012-08)
      A cry is the first verbal communication of infants and it is described as a loud, high-pitched sound made by infants in response to certain situations. Infant cry signals can be used to identify physical or psychological ...
    • Infant cry classification: time frequency analysis 

      Saraswathy, Jeyaraman; Hariharan, Muthusamy, Dr.; Wan Khairunizam, Wan Ahmad, Dr.; Sazali, Yaacob, Prof. Dr.; Thiyagar., N (IEEE Conference Publications, 2013-11)
      Acoustic analysis of infant cry has been the subject of a number of researchers since half decades ago. This paper addresses a simple time-frequency analysis based signal processing technique using short-time Fourier ...
    • Infant hungry recognition based on k-NN and Autoregressive Model 

      Muhammad Naufal, Mansor; Sazali, Yaacob, Prof. Dr.; Hariharan, Muthusamy, Dr.; Shafriza Nisha, Basah, Dr.; Mohd Nazri, Rejab (American Scientific Publishers All rights reserved., 2013-11)
      To study their behaviour without knowing what their needs is another crucial issue. A lot of researches have been rapidly investigated. Thus, in this paper we proudly proposed a system to determine the hungry infant based ...
    • Investigation of vision impairments using pattern reversal VEPs and extreme learning machine 

      Vijean, Vikneswaran; Hariharan, Muthusamy; Sazali, Yaacob, Prof. Dr. (Universiti Malaysia Perlis (UniMAP), 2012-06-18)
      Analysis of vision impairment using pattern reversal visually evoked potentials (VEP) is gaining interest from researchers. The VEPs are collected using non-invasive EEG electrodes from the scalp overlaying the occipital ...
    • Jaundice in newborn monitoring using color detection method 

      Muhammad Naufal, Mansor; Sazali, Yaacob, Prof. Dr.; Hariharan, Muthusamy, Dr.; Shafriza Nisha, Basah, Dr.; Syahryull Hi-Fi Syam, Ahmad Jamil; Mohd Lutfi, Mohd Khidir; Muhammad Nazri, Rejab; Ku Mohd Yusri, Ku Ibrahim; Addzrull Hi-Fi Syam, Ahmad Jamil; Ahmad Kadri, Junoh (Elsevier B.V., 2012-03-10)
      Jaundice is a yellow discoloration of the skin and/or whites of the eyes that is often seen in newborn infants. The discoloration is caused by a yellow substance called bilirubin. Infants with high blood levels of bilirubin, ...
    • Luminance sticker based facial expression recognition using discrete wavelet transform for physically disabled persons 

      Nagarajan, Ramachadran, Prof. Dr.; Hariharan, Muthusamy; M., Satiyan (Springer Science+Business Media, LLC., 2012)
      Developing tools to assist physically disabled and immobilized people through facial expression is a challenging area of research and has attracted many researchers recently. In this paper, luminance stickers based facial ...
    • Malay speech recognition in normal and noise condition 

      Fook, C. Y.; Hariharan, Muthusamy, Dr.; Sazali, Yaacob, Prof. Dr.; Abdul Hamid, Adom, Prof. Dr. (Institute of Electrical and Electronics Engineers (IEEE), 2012-03)
      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 ...
    • Mathematical model attitude estimation using Kalman filter technique for low earth orbit satellite 

      Nor Hazadura, Hamzah; Sazali, Yaacob, Prof. Dr.; Teoh, Vil Cherd; Siti Maryam, Harun; Hariharan, Muthusamy; Mohamad Nazri, Dol Bahar; Norhizam, Hamzah (Universiti Malaysia Perlis (UniMAP)School of Mechatronic Engineering, 2012-02-27)
      In space, the attitude analysis of a satellite is constantly being computed within the system of the satellite. In this paper, the linear mathematical model of the satellite attitude control with gravity gradient moment, ...
    • Mental tasks classifications using S-transform for BCI applications 

      Vijean, Vikneswaran; Hariharan, Muthusamy, Dr.; Saidatul, A.; Sazali, Yaacob, Prof. Dr. (IEEE Conference Publications, 2011-10)
      The classification of different types of mental tasks is an active area of research that seems to be ever expanding. This field is gaining interest from researchers all over the world. This study is intended to utilize the ...
    • Message 

      Hariharan, Muthusamy (Institute of Electrical and Electronic Engineers (IEEE), 2012-02-27)
      No abstract available
    • MFCC based recognition of repetitions and prolongations in stuttered speech using k-NN and LDA 

      Lim, Sin Chee; Ooi, Chia Ai; Hariharan, Muthusamy; Sazali, Yaacob, Prof. (Institute of Electrical and Elctronics Engineering (IEEE), 2009-11-16)
      Stuttering is a speech disorder in which the normal flow of speech is disrupted by occurrences of dysfluencies, such as repetitions, interjection and so on. There are a high proportion of repetitions and prolongations in ...
    • Multistyle classification of speech under stress using wavelet packet energy and entropy features 

      Nurul Aida Amira, Johari; Hariharan, Muthusamy, Dr.; Saidatul, A.; Sazali, Yaacob, Prof. Dr. (IEEE Conference Publications, 2011-10)
      Physco-physiological conditions like stress and emotional state may affect human's speech production. Different techniques have been proposed such as facial expressions, speech production variation, and physiological signals ...
    • Nano-satellite Attitude Control System 

      Muhyi, Yaakop; Sazali, Yaacob, Prof. Dr.; Abdul Rahman, Mohd Saad; Zaridah, Mat Zain; Paulraj, Murugesa Pandiyan, Assoc. Prof. Dr.; Muthusamy, Hariharan; Ramachandran, Nagarajan, Prof. Dr.; Soh, Warren Kay; Ahmad Sabirin, Arshad (Universiti Malaysia Perlis (UniMAP)Pejabat Timbalan Naib Canselor (Penyelidikan dan Inovasi), 2009-12)
      A satellite maneuvers through orbit with the use of an attitude control system (ACS) to stay on course and always pointing towards earth reference. This maximizes the solar cell-sun and camera-earth coverage, a process ...
    • Neural network based detection of voice disorders using energy spectrum and equal-loudness contours 

      Murugesa Pandian, Paulraj, Prof. Madya Dr.; Sazali, Yaacob, Prof. Dr.; Sivanandam, S. N.; Muthusamy, Hariharan, Dr. (Universiti Teknologi MARA (UiTM)Faculti of Electrical Engineering, 2008-03-07)
      Impairment of vocal function can have a major impact on the quality of life, severely limiting communication at work and affecting all social aspect of daily life. In the recent years, voice disease are increasing dramatically ...