Sazali Yaacob, Prof. Dr.: Recent submissions
Now showing items 21-40 of 251
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EMG signal based human stress level classification using wavelet packet transform
(Springer-Verlag, 2012)Recent days, Electromyogram (EMG) signal acquired from muscles can be useful to measure the human stress levels. The aim of this present work to investigate the relationship between the changes in human stress levels to ... -
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 ... -
Feature based classification for classroom speech intelligibility prediction
(IEEE Conference Publications, 2011-09)Education is one of the most important aspects in human life. Nowadays, a quality education not only rely on the teaching itself, but also the environment. One of the important aspects in providing an educative environment ... -
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 ... -
Magnetic induction tomography modeling in biological tissue imaging using two-port network technique
(International Frequency Sensor Association (IFSA), 2013)Magnetic Induction Tomography (MIT) is a non-invasive and non-intrusive imaging technique which interested in passive electrical properties of a material that are permittivity, permeability and conductivity. MIT applies ... -
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 ... -
Statistical formant descriptors with linear predictive coefficients for accent classification
(Institute of Electrical and Electronics Engineers (IEEE), 2013-06)Accent is a special trait of human speech that can deliver some information about a speaker's background. At the same time it is one of the profound factors that affects the intelligibility and performance of speech ... -
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, ... -
A study of a two phases medium in pipe vessel using gaussian filter method and k-NN classifier
(IOS Press, 2013-07-03)In this paper we present the existence and uniqueness of solutions to the stochastic problem to determine two phase level of gas and water in the industrial pipe line. In order to distinguish the level phases in a vessel ... -
Implementing eigen features methods/neural network for EEG signal analysis
(Institute of Electrical and Electronics Engineers (IEEE), 2013-01)This paper presented the possibility of implementing eigenvector methods to represent the features of electroencephalogram signal. In this study, three eigenvector methods were investigated namely Pisarenko, Multiple Signal ... -
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 ... -
Multiple physiological signal-based human stress identification using non-linear classifiers
(2013)This paper describes the human stress identification using multiple physiological signals. The Electrocardiogram (ECG), Electromyogram (EMG), Heart Rate Variability (HRV), Galvanic Skin Response (GSR), and Skin Temperature ... -
Detection of human stress using short-term ECG and HRV signals
(World Scientific Publishing Company, 2013-04)This paper introduces a method for resolving the problem of human stress detection through short-term (less than 5 min) electrocardiogram (ECG) and heart rate variability (HRV) signals. The explored methodology helps to ...