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This paper presents a brain activity monitoring system developed on a field programmable gate array (FPGA). A high definition multimedia interface (HDMI) core is introduced to display an anatomical brain on an LED/LCD monitor in realtime. A desired 2D view of a 3D anatomical image, selected beforehand by the user by a proposed user interface software, is converted to the jpeg formatted image. The...
The study of functional networks in the brain is essential in order to gain a better insight into its diverse set of operations and to characterise the associated normal and abnormal behaviors. Present methods of analysing fMRI data to obtain functional connectivity are largely limited to approaches such as correlation, regression, and independent component analysis, which give simple point estimates...
Examining the dynamic aspects of functional networks in the brain is imperative in order to obtain a thorough description and to gain a better insight into its several features. Present methods of analysing brain data in task-conditions mainly include concatenation followed by temporal correlation. We employ Markov Chain Monte Carlo methods, namely Metropolis within Gibbs sampling, on a stochastic...
Recent empirical research has discovered that linkages among fMRI signals of the brain in resting-state have meaningful temporal variations. Most current studies of brain networks assume that these linkages are constant. We propose a model and an accompanying algorithm to infer and track changes in these interaction strengths, thus providing a more comprehensive way to study brain dynamics. The stochastic...
Gender classification is a challenging task in surveillance videos due to their relatively low solution, uncontrolled environment and viewing angles of an object. It has potential applications as well in visual surveillance and human-computer interaction systems. While a lot of work have considered still face images for soft biometrics recognition and applied still image-based methods, recent developments...
The goal of this paper is to provide; an up-to-date, critical and comprehensive; survey of existing literature on face classification. The survey of this research paper includes the research work ranges from single: frame, object, classifier to multi: frame, object, classifier approach that provides robust and efficient solution for several applications in the area of biometrics, personal security,...
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