Browsing Hariharan Muthusamy, Dr. by Title
Now showing items 24-43 of 78
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Development of attitude control system on RCM3400 microcontroller
(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
(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
(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
(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
(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
(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
(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
(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
(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
(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
(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
(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
(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
(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
(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
(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
(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
(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
(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
(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, ...