Browsing Hariharan Muthusamy, Dr. by Title
Now showing items 45-64 of 78
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Malay speech recognition in normal and noise condition
(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
(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
(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
(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
(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
(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
(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
(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 ... -
A new hybrid intelligent system for accurate detection of Parkinson's disease
(Elsevier, 2014-03)Elderly people are commonly affected by Parkinson's disease (PD) which is one of the most common neurodegenerative disorders due to the loss of dopamine-producing brain cells. People with PD's (PWP) may have difficulty in ... -
New newborn jaundice monitoring scheme based on combination of pre-processing and color detection method
(Elsevier B.V., 2013)Newborn jaundice is an apparent yellowing of the sclera or yellowish skin in newborn infants. This symptom is caused by a yellow pigment known as bilirubin. A high level of bilirubin in the infant is referred to as ... -
Non-invasive pathological voice classifications using linear and non-linear classifiers
(Universiti Malaysia Perlis (UniMAP)School of Mechatronic Engineering, 2010)In this research work, a non-invasive method is conducted to diagnose the voice diseases through acoustic analysis of voice signal. Three feature extraction methods are proposed based on the time-domain energy variations, ... -
Normal and hypoacoustic infant cry signal classification using time-frequency analysis and general regression neural network
(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 ... -
Objective analysis of vision impairments using single trial VEPs
(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 ... -
Objective evaluation of speech dysfluencies using wavelet packet transform with sample entropy
(Elsevier Inc, 2013-05)Dysfluency and stuttering are a break or interruption of normal speech such as repetition, prolongation, interjection of syllables, sounds, words or phrases and involuntary silent pauses or blocks in communication. Stuttering ... -
Objective investigation of vision impairments using single trial pattern reversal visually evoked potentials
(Elsevier Ltd., 2013-07)Visually evoked potentials (VEPs) originate from the occipital cortex and have long been used as a reliable indicator for vision impairments by ophthalmologists. Any abnormalities in the visual pathways of a person can be ... -
Optimal selection of long time acoustic features using GA for the assessment of vocal fold disorders
(Trans Tech Publications, 2013)In recent times, vocal fold problems have been increasing dramatically due to unhealthy social habits and voice abuse. Non-invasive methods like acoustic analysis of voice signals can be used to investigate such problems. ... -
Pathological infant cry analysis using wavelet packet transform and probabilistic neural network
(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 ... -
Patient monitoring in ICU under unstructured lighting condition
(IEEE Conference Publications, 2010-10)In this paper, fuzzy classifier is explained and reviewed for detecting facial changes of patient in a hospital in Intensive Care Unit (ICU). The facial changes are most widely represented by eyes and mouth movements. The ... -
Patients tremble analysis under different camera placement in critical care
(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
(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 ...