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Now showing items 31-40 of 133
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 ...
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 ...
A physiological signal based approach on stress assessment through emotion, physical, and cognitive stimuli: A theoretical frame work
(Universiti Malaysia Perlis (UniMAP), 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 ...
Mathematical model attitude estimation using Kalman filter technique for low earth orbit satellite
(Universiti Malaysia Perlis (UniMAP), 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, ...
Mathematical modeling of human body for lifting task
(IEEE Conference Publications, 2012)
Physical lifting tasks commonly involve to types of body postures, namely, squat lifting and stoop lifting. Studies shows improper body posture during lifting task has detrimental effect to human lower-back region over ...
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 ...
Automatic infant anxiety character with SVM
(Elsevier Ltd., 2012)
Notable complications of sedation practices have been identified and efforts to modify these practices in ICUs have begun. While sedation-scoring tools have been introduced into clinical practice in intensive care few have ...
Review on interaction between electromagnetic field and biological tissues
(International Frequency Sensor Association (IFSA), 2012)
The objective of this paper is to have a look on the interaction of electromagnetic field (EM) on biological tissue from the view of physiological and electrical engineering. The understanding of the phenomena in the ...
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 ...
Methods and approaches on inferring human emotional stress changes through physiological signals: A review
(Universiti Malaysia Perlis (UniMAP), 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 ...