The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
In this paper, we proposed a novel supervised feature extractor named as class-augmented independent component analysis (CA-ICA) whose performance can be maintained even after the input variables are varied, only if new input variables are still linear combinations of the same independent sources as old input variables were. This property can be useful in implementing an sEMG decoder robust to the...
Brain controlled wheelchair system is a Brain-computer interface (BCI) allowing people with severe neuromuscular disorder to control the navigation by themselves. Indeed, it replaces muscular activities by neurophysiological ones. The advantages of the Steady State Visual Evoked Potential (SSVEP) make it a favorable choice to be used in the BCI. The aim of the present study is to design a brain controlled...
This paper presents an approach to digit recognition using single layer neural network classifier with Principal Component Analysis (PCA). The handwritten digit recognition is an important area of research as there are so many applications which are using handwritten recognition and it can also be applied to new application. There are many algorithms applied to this computer vision problem and many...
Recent survey shows that heart disease is a leading cause of death in India and in world wide. Significant life savings can be achieved, if a timely and cost effective clinical decision system is developed. Adverse reactions occur if a disease is not diagnosed properly. A clinical decision support system can assist health care professionals for early diagnosis of heart disease from patient's medical...
The existing clinical diagnostics for lung cancer are mostly based on physics, biochemical and imaging techniques. The use of electronic nose (E-nose) system to detect volatile organic compounds (VOCs) in lung cancer cells or exhaled air breath of a patient is expected to be able to classify different volatile components leading to the diagnosis of lung cancer at an early stage. In this preliminary...
The ULTRA-WIDE BAND (UWB) signals transmit a large amount of information over a short distance with low power and the signals reflected by the inspected materials can be obtained without contacts of the materials. As a result, the reflected UWB signals offer us one potential contactless material identification or classification tool. In this paper, we study the UWB signals collected in a series of...
Learning and memory are two related mental processes. EEG is a brain mapping technique, which can record brain states directly and can be used to assess learning and memory recall. In this paper, we will assess the effects of 2D and 3D educational contents on learning and memory recall by analyzing the brain states during recall tasks using EEG signals. 34 subjects learn same 2D and 3D educational...
Data compression algorithms are used in process plants to store and transmit data for analysis purposes. Amount of data is increasing in process plants due to advances in automation and process monitoring technologies. Process data historians are used in plants to store, manage, retrieve and analyze process data. Process data historians use data compression algorithms to effectively manage large amount...
Gender recognition has important applications in apparel design, social security, and human-computer interaction systems. In this paper, we investigate gender-recognition technologies using 3-D human body shape. The front and side silhouettes from 459 female subjects and 107 male subjects were extracted and then modeled using normalized Elliptic Fourier descriptors. Principal Component Analysis (PCA)...
For hyperspectral data classification, feature reduction techniques have become an apparent need to extract information from original data. In this paper, we introduce Locality Sensitive Discriminant Analysis (LSDA) to perform feature reduction for classification of hyperspectral imagery. By preserving both the discriminant and local geometrical structure in the data, the proposed method can obtain...
The presence of metallic particles can adversely affect the reliability of Gas-Insulated Substation (GIS) by initiating partial discharges (PDs). Therefore, the investigation of PD characteristics and particle size and position on the spacer surface are the significant steps toward the reliability improvement of the GIS equipments. This paper presents the use of Back-Propagation Artificial Neural...
Human posture recognition is very critical in human computer interaction studies. With the release of Microsoft Kinect sensor, there has been an increasing interest in using Kinect for vision based human posture recognition as user's skeleton information can be precisely inferred from the depth images generated by Kinect. In this paper we proposed a novel human posture recognition method using Microsoft...
Stable local feature detection and representation are the fundamental components of target recognition and image retrieval. The traditional SIFT algorithm's descriptor of the feature points is a 128-element vector, and a lot of redundant information is presence. So the brief and effective expression of the image feature information is the key to improve the performance of the algorithm. This paper...
Mass spectrometry is a powerful tool in chemistry research. A primary aim of data mining in chemistry is to try to obtain useful information from chemistry databases, and then classify the compounds using the useful samples features. Suffering from the traits of high dimension, and small sample in mass spectrometry data, in order to create models, it will be first to provide useful features which...
The core objective of this paper is to improve the performance of Content Based Image Retrieval (CBIR) system for biological image by intelligent selection of discriminative feature sets from the set of canonical features. The performance of the CBIR system can be further enhanced by proper selection of Classifier and fine tuning model parameters to obtain improved classification accuracy. We extracted...
The missing data problem exists in a lot of transportation systems while many traffic applications require accurate traffic data to work well. So, various methods were proposed for traffic data imputation in recent years. However, most of these approaches only consider the information of a single detector. In this paper, we use the temporal and spatial information collected from multiple detectors...
This paper presents the design, analysis and test of a novel planar 3-DOF (degree of freedom) precision positioning platform. Three two-level lever amplifiers are utilized to get a large amplification ratio. A more accurate flexible bending model of the lever amplifier is created to calculate the displacement loss relative to the PRBM (pseudo-rigid-body model). The displacement loss factor, the drift...
In speech recognition system, the Mel Frequency Cepstrum Coefficients (i.e. MFCC) feature extraction is an important process. It has also been wildly used in many applications. In this paper, we present the conventional MFCC feature extraction method and propose two novel versions of MFCC method that will combine the PCA technique and conventional MFCC feature extraction method. Finally, these three...
This paper presents an automatic voice pathology detection using multiresolution technique, more specifically using Gabor wavelets. Gabor wavelets can extract information in various scales and orientations, and thereby can effectively encode distinguishable patterns of normal and pathological voice signals. First, the input voice is transformed to frequency domain using frame based Fourier transformation...
In this paper we describe a new system for eye center (pupil) localization. The patch centered on the eye is described by concatenations of integral and edge projections. Next, for dimensionality reduction, the Principal Component Analysis (PCA) technique is employed, while the discrimination among possible candidates is performed with a Bagged ensemble of Regression Trees (BRT) classifier. The accuracy...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.