Hariharan Muthusamy, Dr.
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This page provides access to research works by Dr. Hariharan Muthusamy, former Senior Lecturer of School of Mechatronic Engineering, Universiti Malaysia Perlis (UniMAP).
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Skills and Expertise: Speech Recognition, ECG, Surface EMG, EEG Signal Processing, Stuttering, Voice Disorders, Emotion in Speech, Artificial Intelligence, Feature Extraction, Support Vector Machine, Classification, Algorithms, Machine Learning, Signal, Image and Video Processing, Speech Science, Pattern Recognition, Mechatronic, Electrical & Electronic
Recent Submissions
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Voice Pathology Analysis using DT-CWPT and ReliefF Algorithm
(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 ... -
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 ... -
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 ... -
Stockwell transform and clustering techniques for efficient detection of vision impairments from single trial VEPs
(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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
Detection of facial changes for ICU patients using KNN classifier
(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 ... -
Auditory wavelet packet filters for multistyle classification of speech under stress
(IEEE Conference Publications, 2011-11)Nowadays, people are having high stress level due to high workload stress, emergency phone call and multitasking. Emotional/stress of a person affect his/her performance in daily life and speech production. The research ... -
Applications of visually evoked potentials in ocular diseases: a guided tour
(IEEE Conference Publications, 2011-12)Visually evoked potential (VEP) is an electrical signal generated by the brain (Occipital Cortex) in response to a visual stimuli. These responses are recorded non-invasively by placing the surface electrodes at the scalp, ... -
A review of Yorùbá automatic speech recognition
(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 ... -
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 ... -
The study of gravity gradient effect on attitude of low earth orbit satellite
(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 ... -
Analysis of the residual between the model and the data using autocorrelation function for satellite attitude estimation
(Institute of Electrical and Electronics Engineers (IEEE), 2013-03)Objective of this paper is to investigate whether the noise in attitude dynamics model and measurement model is Gaussian white noise process or not. This is important because if the assumption regarding the noise is wrong, ... -
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 ... -
Preventing sudden infant death syndrome (SIDS) based on motion estimation and neural network
(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 ... -
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 ... -
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 ...
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