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Now showing items 11-20 of 39
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 ...
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 ...
Electrocardiogram-based emotion recognition system using empirical mode decomposition and discrete fourier transform
(John Wiley & Sons, Inc., 2014)
Emotion recognition using physiological signals has gained momentum in the field of human computer–interaction. This work focuses on developing a user-independent emotion recognition system that would classify five emotions ...
Magnetic induction tomography: Receiver circuit and its design criteria
(Penerbit UTM Press, 2013-07)
This paper discusses the receiver circuit and criteria for component selection towards the application of a real-time magnetic induction tomography system. Component selection plays an important role since image reconstruction ...
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 ...
Optimization of circular side door beam for crashworthiness analysis
(Indonesian Society for Knowledge and Human Development (INSIGHT), 2012)
Structural optimization related to crashworthiness and energy absorption capability is particularly importance to the
automotive industry. The optimization involves highly nonlinear computational analysis and design with ...
Car cabin interior noise classification using temporal composite features and probabilistic neural network model
(Trans Tech Publications Inc., 2014)
Determination of vehicle comfort is important because continuous exposure to the noise and vibration leads to health problems for the driver and passengers. In this paper, a vehicle comfort level classification system has ...
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 ...
A comparative study of wavelet families for classification of wrist motions
(Elsevier Ltd., 2012-11)
The selection of most suitable mother wavelet function is still an open research problem in various signal and image processing applications. This paper presents a comparative study of different wavelet families (Daubechies, ...
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) ...