Hariharan Muthusamy, Dr.: Recent submissions

Now showing items 41-60 of 78

    • Recognition of facial expression using neural network 

      M., Satiyan; Ramachandran, Nagarajan, Prof. Dr.; Muthusamy, Hariharan (Universiti Malaysia Perlis (UniMAP)Centre for Graduate Studies, 2010-10-16)
      In this paper, we attempted to recognize facial expression by using Haar-like feature extraction method. A set of luminance stickers were fixed on subject’s face and the subject is instructed to perform required facial ...

    • Automatic classification of infant cry: A review 

      Saraswathy, J.; Muthusamy, Hariharan, Dr.; Sazali, Yaacob, Prof. Dr.; Wan Khairunizam, Wan Ahmad, Dr, (Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)
      This paper reviews the some of significant works on infant cry signal analysis proposed in the past two decades and reviews the recent progress in this field. The cry of baby cannot be predicted accurately where it is very ...

    • Assimilate the auditory scale with wavelet packet filters for multistyle classification of speech under stress 

      Nurul Aida Amira, Johari; Muthusamy, Hariharan, Dr.; Saidatul Ardeenawatie, Awang; Sazali, Yaacob, Prof. Dr. (Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)
      Nowadays, people are having high stress level due to highworkload stress, emergency phone call and multitasking. Emotional/stress of a person affects his/her performance in daily life and speech production. The research ...

    • A study of human emotional: Review 

      Nurnadia, M. Khair; Sazali, Yaacob, Prof. Dr.; Muthusamy, Hariharan, Dr.; Shafriza Nisha, Basah, Dr. (Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)
      Modeling human activities such as human robotic, and human behavior is an active research involving multidisciplinary field including biomedical engineering, biomechanics, mathematics etc. Thus is due to the fact that a ...

    • 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 ...

    • Objective analysis of vision impairments using single trial VEPs 

      Muthusamy, Hariharan, Dr.; Vikneswaran, Vijean; Sazali, Yaacob, Prof. Dr. (Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)
      Visually evoked potential (VEP) is an electrical signal generated by the brain (Occipital Cortex) in response to a visual stimuli. These VEP are recorded non-invasively by placing the surface electrodes at the scalp, 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 ...

    • Normal and hypoacoustic infant cry signal classification using time-frequency analysis and general regression neural network 

      Hariharan, Muthusamy, Dr.; Sindhu, R; Sazali, Yaacob, Prof. Dr. (Elsevier Ireland Ltd., 2012-11)
      Crying is the most noticeable behavior of infancy. Infant cry signals can be used to identify physical or psychological status of an infant. Recently, acoustic analysis of infant cry signal has shown promising results and ...

    • 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 ...

    • 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, ...

    • Analysis of infant cry through weighted linear prediction cepstral coefficients and probabilistic neural network 

      Hariharan, Muthusamy; Lim, Sin Chee; Sazali, Yaacob, Prof. Dr. (Springer Science+Business Media, LLC., 2012)
      Acoustic analysis of infant cry signals has been proven to be an excellent tool in the area of automatic detection of pathological status of an infant. This paper investigates the application of parameter weighting for ...

    • 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 ...

    • 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- ...

    • 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 ...

    • 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 ...

    • Application of feedforward neural network for the classification of pathological voices 

      Sazali, Yaacob, Prof. Dr.; Murugesa Padiyan, Paulraj, Dr.; Mohd Rizon, Mohammed Juhari, Prof. Dr.; Muthusamy, Hariharan, Dr. (Universiti Teknologi MARA (UiTM), 2007-03-09)
      This paper present the application of feed forward neural network for the classification of pathological voices based on the on the acoustic analysis and EGG features. Acoustic analysis is a non-invasive technique based ...

    • Classification of speech dysfluencies with MFCC and LPCC features 

      Ooi, Chia Ai; Muthusamy, Hariharan, Dr.; Sazali, Yaacob, Prof. Dr.; Lim, Sin Chee (Elsevier Ltd., 2012-02)
      The goal of this paper is to discuss comparison of speech parameterization methods: Mel-Frequency Cepstrum Coefficients (MFCC) and Linear Prediction Cepstrum Coefficients (LPCC) for recognizing the stuttered events. Speech ...

    • Automatic detection of voice disorders using self loop architecture in back propagation network 

      Murugesa Pandiyan, Paulraj, Prof. Madya Dr,; Sazali, Yaacob, Prof. Dr.; Sivanandam, S. N.; Muthusamy, Hariharan, Dr. (Anna University, 2008-01-04)
      Acoustic analysis is a non-invasive technique to detect the voice disorders and diagnose the vocal and voice disease. In the recent years, voice disease are increasing dramatically due to unhealthy social habits and voice ...

    • 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 ...

    • Pathological infant cry analysis using wavelet packet transform and probabilistic neural network 

      Muthusamy, Hariharan; Sazali, Yaacob, Prof. Dr.; Saidatul Ardeenaawatie, Awang (Elsevier Ltd., 2011-11)
      A new approach has been presented based on the wavelet packet transform and probabilistic neural network (PNN) for the analysis of infant cry signals. Feature extraction and development of classification algorithms play ...