Browsing Hariharan Muthusamy, Dr. by Title

Now showing items 63-78 of 78

    • Patients tremble analysis under different camera placement in critical care 

      Muhammad Naufal, Mansor; Sazali, Yaacob, Prof. Dr.; R. Nagarajan, Prof. Dr.; Muthusamy, Hariharan, Dr. (Science Academy, 2011-03)
      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 ...

    • Performance comparison of daubechies wavelet family in Infant cry classification 

      Saraswathy, J; Hariharan, Muthusamy; Vijean, Vikneswaran; Sazali, Yaacob, Prof. Dr.; Wan Khairunizam, Wan Ahmad, Dr. (IEEE Conference Publications, 2012)
      Infant cry is a non-stationary, loud, high-pitched signal made by infants in response to certain situations. This acoustic signal can be used to identify physical or psychology status of infant. The aim of this work is to ...

    • Prediction of Reverberation time in university classrooms using Neural Network 

      Paularaj, M. P.; Mohd Shukry, Abdul Majid; Sazali, Yaacob; Hariharan, M.; Wan Mohd Ridzuan, Wan Ab Majid (Universiti Kebangsaan Malaysia, 2007)
      Reverberation time is fundamental to the study of the acoustics of an enclosed space. An important objective of architectural acoustics is to predict the reverberation time in an enclosed space. Reverberation time is also ...

    • Preemies birth 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)
      Administration of vaccines and nutritional supplements to baby or infant is mainly depends on their chronological age and weight. For examples, iron supplements and hepatitis B vaccine should be initiated when the baby is ...

    • Preventing sudden infant death syndrome (SIDS) based on motion estimation and neural network 

      Muhammad Naufal, Mansor; Sazali, Yaacob, Prof. Dr.; Hariharan, Muthusamy, Dr.; Shafriza Nisha, Basah, Dr.; Mohd Nazri, Rejab (American Scientific Publishers, 2013)
      What is SIDS? SIDS is known as Sudden Infant Death Syndrome or referred as the cot death; there are no explainable causes of death after the autopsy. No one knows what causes SIDS, however researchers have theorized that ...

    • 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 ...

    • A review of Yorùbá automatic speech recognition 

      Shahrul Azmi, Mohd Yusof; Atanda, Abdulwahab Funsho; Hariharan, Muthusamy, Dr. (IEEE Conference Publications, 2013-08)
      Automatic Speech Recognition (ASR) has recorded appreciable progress both in technology and application. Despite this progress, there still exist wide performance gap between human speech recognition (HSR) and ASR which ...

    • 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 ...

    • 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 ...

    • 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 ...

    • Stockwell transform and clustering techniques for efficient detection of vision impairments from single trial VEPs 

      Vijean, Vikneswaran; Hariharan, Muthusamy, Dr.; Sazali, Yaacob, Prof. Dr.; Mohd Nazri, Sulaiman (Inderscience Enterprises Ltd., 2013)
      Pattern reversal visually evoked potentials (VEPs) provide valuable information about the visual nerves pathways and is a promising field to be explored for the investigation of vision impairments. The conventional method ...

    • The study of gravity gradient effect on attitude of low earth orbit satellite 

      Nor Hazadura, Hamzah; Sazali, Yaacob, Prof. Dr.; Hariharan, Muthusamy, Dr.; Norhizam, Hamzah; Najah, Ghazali (AIP Publishing LLC, 2013)
      Simulations and mathematical models are increasingly used to assist the process of decision making in engineering design. The objective of this paper is to simulate the linear attitude dynamics of small satellites under ...

    • 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 ...

    • Time-domain features and probabilistic neural network for the detection of vocal fold pathology 

      Hariharan, Muthusamy; Paulraj, Murugesa Pandiyan, Prof. Madya; Sazali, Yaacob, Prof. Dr. (Universiti Malaya, 2010)
      Due to the nature of job, unhealthy social habits and voice abuse, 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. ...

    • Voice Pathology Analysis using DT-CWPT and ReliefF Algorithm 

      Farah Nazlia, Che Kassim; Vikneswaran, Vijean; Hariharan, Muthusamy; Rokiah, Abdullah; Zulkapli, Abdullah (IOP Publishing, 2019)
      Voice pathology analysis has been one of the useful tools in the diagnosis of the pathological voice. This method is non-invasive, inexpensive and reduces time required for analysis. This paper investigates the feature ...

    • Wavelet based approach for the investigation of vision impairments using single trial VEPs 

      Vijean, Vikneswaran; Hariharan, Muthusamy, Dr.; Sazali, Yaacob, Prof. Dr. (Institute of Electrical and Electronics Engineers (IEEE), 2012-03-23)
      Visually evoked potential (VEP) is being widely used for the investigation of vision abnormalities. The signals are recorded using non-invasive EEG electrodes from the Occipital Cortex while a subject is presented with a ...