Sazali Yaacob, Prof. Dr.: Recent submissions
Now showing items 81-100 of 250
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Assimilate the auditory scale with wavelet packet filters for multistyle classification of speech under stress
(Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)Nowadays, people are having high stress level due to highworkload stress, emergency phone call and multitasking. Emotional/stress of a person affects his/her performance in daily life and speech production. The research ... -
A study of human emotional: Review
(Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)Modeling human activities such as human robotic, and human behavior is an active research involving multidisciplinary field including biomedical engineering, biomechanics, mathematics etc. Thus is due to the fact that a ... -
A review: Malay speech recognition and audio visual speech recognition
(Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)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 ... -
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 ... -
Human postures modeling using motion analysis: A review
(Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)Human motion analysis via computer vision is an important aspect in a wide range of application; ranging from human-computer interaction (HCI) to ergonomics and biomechanics. This paper presents an overview of all processes ... -
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 ... -
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 ... -
Synchronous brain machine interface design using focused time delay networks
(Universiti Malaysia Perlis (UniMAP)School of Mechatronic Engineering, 2012-02-27)Focused time delay neural network based design for a four-state Brain Machine Interface (BMI) to drive a wheelchair is analyzed. Motor imagery signals recorded noninvasively using two bipolar electrodes are used in the ... -
GPSO versus GA in facial emotion detection
(Universiti Malaysia Perlis (UniMAP)School of Mechatronic Engineering, 2012-02-27)We recently proposed a modification to the widely known Particle Swarm Optimization (PSO) algorithm so that it can be applied as a method for facial emotion recognition. We named our proposed modification to PSO as the ... -
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, ... -
Methods and approaches on inferring human emotional stress changes through physiological signals: A review
(Universiti Malaysia Perlis (UniMAP)School of Mechatronic Engineering, 2012-02-27)Emotional stress is kind of stressful state which is developed due to the continuous occurrence of negative emotions such as sad, disgust, angry and fear over a long period of time. Under stressful condition, Autonomic ... -
A physiological signal based approach on stress assessment through emotion, physical, and cognitive stimuli: A theoretical frame work
(Universiti Malaysia Perlis (UniMAP)School of Mechatronic Engineering, 2012-02-27)Stress is one of an unsteady state of human like uncontrolled machineries in industries. In order analysis effects of human stress, several studies have reported to identify the physiological and psychological variation ... -
Classification of vehicle noise comfort level using feedforward neural network
(Universiti Malaysia Perlis (UniMAP)School of Mechatronic Engineering, 2012-02-27) -
A phoneme based sign language recognition system using interleaving feature and neural network
(Universiti Malaysia Perlis (UniMAP)School of Mechatronic Engineering, 2012-02-27)A sign language is a language which, instead of acoustically conveyed sound patterns, uses visually transmitted sign patterns. Sign languages are commonly developed in hearing impaired communities, which can include ... -
Geometrical effect on the behavior of circular and elliptic tubes under dynamic axial loading
(Universiti Malaysia Perlis (UniMAP)Pusat Pengajian Kejuruteraan Mekatronik, 2012-02-27)A numerical investigation of circular and elliptic tubes is performed under dynamic axial loading using non- linear finite element code LS DYNA. The material of the tubes is treated as piecewise linear ... -
Nurse following robot: An automated robust control nurse following robot with self leveling platform, special wheel, suspension system and sensor integration for crowded hospital ward.
(Malaysian Invention and Design Society (MINDS), 2012-05-17)This Nurse Following Robot, is a personal robot allotted to a particular “person”, the nurse – which is not attainable with commercial hospital robots. The Nurse Following Robot is a personal robot for nurse. It searches ... -
Nurse personal robot: An automated robust control nurse following robot with self leveling platform, special wheel, suspension system and sensor integration for crowded hospital ward
(Universiti Malaysia Perlis (UniMAP)ENVEX Young Researcher Club (EYReC), 2012-04-27)The design is an upgrade from the earlier version, especially, of the wheels are novel such that this cylindrical robot can move in restricted space and rotate by itself about its vertical axis; this enables the robot ... -
Nurse personal robot: An automated robust control nurse following robot with self leveling platform, special wheel and sensor integration for crowded hospital ward
(Universiti Malaysia Perlis (UniMAP), 2012-01-11)There are commercial hospital robots carrying articles from one nurse station to another. -
Analysis of infant cry through weighted linear prediction cepstral coefficients and probabilistic neural network
(Springer Science+Business Media, LLC., 2012)Acoustic analysis of infant cry signals has been proven to be an excellent tool in the area of automatic detection of pathological status of an infant. This paper investigates the application of parameter weighting for ... -
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 ...