Browsing Hariharan Muthusamy, Dr. by Title

Now showing items 21-40 of 78

    • Detection of facial changes for hospital ICU patients using neural network 

      Muhammad Naufal, Mansor; Sazali, Yaacob, Prof. Dr.; Ramachandran, Nagarajan, Prof. Dr.; Muthusamy, Hariharan (Institute of Electrical and Electronics Engineers (IEEE), 2010-05-21)
      This paper presents an integrated system for detecting facial changes of patient in a hospital in Intensive Care Unit (ICU). The facial changes are most widely represented by eyes movements. The proposed system uses color ...

    • Detection of facial changes for ICU patients using KNN classifier 

      Muhammad Naufal, Mansor; Sazali, Yaacob, Prof. Dr.; Nagarajan, Ramachandran; Che, Lim Sin; Hariharan, Muthusamy, Dr.; Muhd Ezanuddin, Abdul Aziz (2010-06)
      This paper presents an integrated system for detecting facial changes of patient in a hospital in Intensive Care Unit(ICU).In this research we have considered the facial changes most widely represented by eyes and mouth ...

    • Detection of vocal fold paralysis and edema using time-domain features and probabilistic neural network 

      Hariharan, Muthusamy; Paulraj, Murugesa Pandiyan, Assoc. Prof.; Sazali, Yaacob, Prof. Dr. (Inderscience Publisher, 2011)
      This paper proposes a feature extraction method based on time-domain energy variation for the detection of vocal fold pathology. In this work, two different vocal fold problems (vocal fold paralysis and edema) are taken ...

    • Development of attitude control system on RCM3400 microcontroller 

      Yaakop, M.; Sazali, Yaacob, Prof. Dr.; Abdul Rahman, Mohd Saad, Prof Madya; Zain, M.; Paulraj, Murugesa Pandiyan, Prof. Dr.; Hariharan, M.; Nagarajan, R., Prof. Dr.; Kay, W. S.; Arshad, A. S. (Institute of Electrical and Electronic Engineers (IEEE), 2009-02-17)
      This paper describes the development of a nanosatellite altitude control system (ACS) which employ a filter base controller with comparison with a simple adaptive predictive fuzzy logic controller (APFLC) for a 1, 2 and 3 ...

    • Diagnosis of vocal fold pathology using time-domain features and systole activated neural network 

      Paulraj, Murugesa Pandiyan, Prof. Madya; Sazali, Yaacob, Prof. Dr.; Hariharan, M. (Institute of Electrical and Elctronics Engineering (IEEE), 2009-03-06)
      Due to the nature of job, unhealthy social habits and voice abuse, the people are subjected to the risk of voice problems. It is well known that most of vocal fold pathologies cause changes in the acoustic voice signal. ...

    • Diagnosis of voice disorders using band energy spectrum in wavelet domain 

      Murugesa Pandiyan, Paulraj, Prof. Madya Dr,; Sazali, Yaacob, Prof. Dr.; Muthusamy, Hariharan, Dr. (Universiti Malaysia Perlis (UniMAP), 2008-03-08)
      In the evolution of quality of speech, acoustic analyses of normal and pathological voices have become increasingly interesting to researchers in laryngology and speech pathologies. Vocal signal information plays an important ...

    • Diagnosis of voices disorders using MEL scaled WPT and functional link neural network 

      Paulraj, Muregesa Pandiyan, Prof. Madya Dr.; Sazali, Yaacob, Prof. Dr.; Hariharan, Muthusamy (Biomedical Fuzzy Systems Association (BMFSA), 2008-03-31)
      Nowadays voice disorders are increasing dramatically due to the modern way of life. Most of the voice disorders cause changes in the voice signal. Acoustic analysis on the speech signal could be a useful tool for ...

    • Discrete wavelet transform in recognition human emotional movement through knocking 

      Shafriza Nisha, Basah, Dr.; Sazali, Yaacob, Prof. Dr.; Muthusamy, Hariharan, Dr.; Nurnadia, M. Khair (IEEE Conference Publications, 2013)
      Developing tools for identifying emotional states in human action is seen more challenging area of research and has attracted many researchers recently. In this paper, a new feature extraction method was proposed in ...

    • Discrimination of vision impairments using single trial VEPs 

      Vijean, Vikneswaran; Hariharan, Muthusamy, Dr.; Sazali, Yaacob, Prof. Dr. (IEEE Conference Publications, 2011-11)
      Analysis of Visually evoked potential (VEP) in the investigation of ocular diseases is gaining interests from researchers all over the world. VEP is an electrical signal generated by the brain (Occipital Cortex) in response ...

    • Effect of normalization method on classification of speech dysfluencies using LPC, LPCC and WLPCC 

      Lim, Sin Chee; Sazali, Yaacob, Prof. Madya Dr.; Muthusamy, Hariharan (Universiti Malaysia Perlis (UniMAP)Centre for Graduate Studies, 2010-10-16)
      The main aim of this paper is to discuss the enhancement of the classification performance on the speech dysfluencies, namely, prolongations and repetitions after employ statistical normalization (SN) on signal and ...

    • Feature extraction based on mel-scaled wavelet packet transform for the diagnosis of voice disorders 

      Murugesa Pandian, Paulraj, Prof. Madya Dr,; Sazali, Yaacob, Prof. Dr.; Muthusamy, Hariharan, Dr. (SpringerLink, 2008-06-25)
      Feature extraction from the vocal signal plays very important role in the area of automatic detection of voice disorders. Many feature extraction algorithms have been developed in the last three decades based on acoustic ...

    • Feature extraction for biometric recognition with photoplethysmography signals 

      Resit Kavsaoglu, A.; Polat, Kemal; Recep Bozkure, M.; Hariharan, Muthusamy, Dr. (IEEE Conference Publications, 2013-04)
      Photoplethysmography (PPG) signals stand out due to features such as readily accessible, high reliability and confidentiality, the ease of use etc. among bio-signals. The feasibility studies carried out on the PPG signals ...

    • 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 ...