The goal of this study is to investigate the influence of fatigue on Steady State Visual Evoked Potential (SSVEP) during virtual wheelchair navigation. For this purpose, an experimental environment was set based on modifiable parameters (luminosity, number of obstacles and obstacles velocities). A correlation study between SSVEP and fatigue ratings was conducted by the mean of spectral analysis...

In this paper we propose a faces recognition system. This system does not directly reproduce human vision on machine, but it seeks to find algorithms to achieve similar results by identifying a person using 2D image of his face. The descriptors used for features extraction, combine two algorithms: Principal Component Analysis (PCA) and a double Linear Discriminate Analysis (LDA) treatment. We c...

Statistical learning theory explores ways of estimating functional dependency from a given collection of data. The specific sub-area of supervised statistical learning covers important models like Perceptron, Support Vector Machines (SVM) and Linear Discriminate Analysis (LDA). In this paper we firstly review the theory of such models. Then, we compare their separating hypersurfaces for extract...

Using in situ hyperspectral measurements collected in the Sierra Nevada Mountains in California, we discriminate six species of conifer trees using a recent, nonparametric statistics technique known as penalized discriminant analysis (PDA). A classification accuracy of 76% is obtained. Our emphasis is on providing an intuitive, geometric description of PDA that makes the advantages of penalizat...

The target paper aims at recognizing emotions using miscellaneous stimulus domains such as Electroencephalography (EEG) Images. The present study focuses on the recognition of emotions and extracting active regions, by using image processing and classification techniques. The study was performed using the data from 10 volunteers experiencing three emotional states relax, happy and sad. By apply...