Browsing Sazali Yaacob, Prof. Dr. by Title
Now showing items 71-90 of 251
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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 pathological voices using systole activated neural network
(Noise, Vibration and Comfort Research Group, 2007-11-27)The discrimination of normal and pathological voices using noninvasive acoustical analysis features helps speech specialits to perform accurate diagnoses of vocal and voices disease. Acoustic analysis is a non-invasive ... -
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 ... -
Dynamic model and simulation on attitude menoeuvring of flexible satellite
(Universiti Malaysia Perlis (UniMAP), 2012-06-18)Flexibility has gained much interest in satellite design in recent years due to its capability to accommodate much for functionality with minimum trade-off. A flexible satellite is satellite that consists of many movable ... -
EEG based detection of conductive and sensorineural hearing loss using artificial neural networks
(Advanced Institute of Convergence IT, 2013-05)In this paper, a simple method has been proposed to distinguish the normal and abnormal hearing subjects (conductive or sensorineural hearing loss) using acoustically stimulated EEG signals. Auditory Evoked Potential (AEP) ... -
EEG classification using radial basis PSO neural network for brain machine interfaces
(Institute of Electrical and Electronics Engineering (IEEE), 2007-12)Brain Machine Interfaces use the cognitive abilities of patients with neuromuscular disorders to restore communication and motor functions. At present, only EEG and related methods, which have relatively short time constants, ... -
EEG signal classification using Particle Swarm Optimization (PSO) neural network for brain machine interfaces
(Association for the Advancement of Modelling & Simulation Techniques in Enterprises (A.M.S.E.), 2008)The brain uses the neuromuscular channels to communicate and control its external environment, however many disorders can disrupt these channels. Amyotrophic lateral sclerosis is one such disorder which impairs the neural ... -
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 ... -
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 ... -
Emotion detection from QRS complex of ECG signals using hurst exponent for different age groups
(IEEE Conference Publications, 2013-09)Emotion recognition using physiological signals is one of the key research areas in Human Computer Interaction (HCI). In this work, we identify the six basic emotional states (Happiness, sadness, fear, surprise, disgust ... -
Emotion recognition from electrocardiogram signals using Hilbert Huang Transform
(IEEE Conference Publications, 2012-10)Equipping robots and computers with emotional intelligence is becoming important in Human-Computer Interaction (HCI). Bio-signal based methods are found to be reliable and accurate than conventional methods as they directly ... -
Emotion recognition from facial EMG signals using higher order statistics and principal component analysis
(Taylor & Francis, 2014-04)Higher order statistics (HOS) is an efficient feature extraction method used in diverse applications such as bio signal processing, seismic data processing, image processing, sonar, and radar. In this work, we have ... -
Engine diagnosis system for automative industry
(Universiti Malaysia PerlisSchool of Mechatronic Engineering, 2007)The condition monitoring based on sound and vibration detection has benefited the machinery industry. Endless efforts have been put into the research of fault diagnosis based on sound. It offers concrete economic benefits, ... -
Entropy based feature extraction for motorbike engine faults diagnosing using neural network and wavelet transform
(Institute of Electrical and Elctronics Engineering (IEEE), 2009-03-06)The sound of working vehicle provides an important clue for engine faults diagnosis. Endless efforts have been put into the research of fault diagnosis based on sound. It offers concrete economic benefits, which can lead ... -
Estimating Face Emotion using Genetic Algorithm
(Kolej Universiti Kejuruteraan Utara Malaysia, 2006-09-15)Recognition of emotion through face features (Face Emotion) is a recent concept undertaken by several researchers. Face features have to be extracted from face images before applying the emotion recognition techniques. ... -
Face emotion recognition
(Universiti Malaysia Perlis (UniMAP)Pejabat Timbalan Naib Canselor (Penyelidikan dan Inovasi), 2007-01) -
Face Emotion Recognition - A survey
(Oita University, 2006-01-23)The facial emotion is playing a vital role in visual communication system. The vision system is being integrated to the robot to recognize the facial gestures or emotion. The integration of the vision system and EMG sensors ... -
Face recognition using eigenfaces and neural networks
(Science Publications, 2006)In this study, we develop a computational model to identify the face of an unknown person’s by applying eigenfaces. The eigenfaces has been applied to extract the basic face of the human face images. The eigenfaces is ... -
Face recognition using eigenfaces and neural networks
(Science Publications, 2006)In this study, we develop a computational model to identify the face of an unknown person’s by applying eigenfaces. The eigenfaces has been applied to extract the basic face of the human face images. The eigenfaces is ... -
FCM clustering of emotional stress using ECG features
(IEEE Conference Publications, 2013-04)Emotional stress refers to the inducement of stress due to the consequence of a continuous experience of negative emotions (sad, anger, fear and disgust). This work aims to investigate the effect of negative emotions in ...