Christoforos Christoforou

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This review summarizes linear spatiotemporal signal analysis methods that derive their power from careful consideration of spatial and temporal features of skull surface potentials. BCIs offer tremendous potential for improving the quality of life for those with severe neurological disabilities. At the same time, it is now possible to use noninvasive(More)
Factor analysis and discriminant analysis are often used as complementary approaches to identify linear components in two dimensional data arrays. For three dimensional arrays, which may organize data in dimensions such as space, time, and trials, the opportunity arises to combine these two approaches. A new method, Bilinear Discriminant Component Analysis(More)
| Our society’s information technology advancements have resulted in the increasingly problematic issue of information overloadVi.e., we havemore access to information than we can possibly process. This is nowhere more apparent than in the volume of imagery and video that we can access on a daily basisVfor the general public, availability of YouTube video(More)
Traditional analysis methods for single-trial classification of electro-encephalography (EEG) focus on two types of paradigms: phase-locked methods, in which the amplitude of the signal is used as the feature for classification, that is, event related potentials; and second-order methods, in which the feature of interest is the power of the signal, that is,(More)
Managing construction and demolition (C&D) wastes has challenged many municipalities with diminishing waste disposal capacity. Facing such challenges, the Massachusetts Department of Environmental Protection proposed a policy restricting the landfill disposal of certain C&D waste materials, if unprocessed. This research is to study the potential economic(More)
Traditional analysis methods for single-trial classification of electroencephalography (EEG) focus on two types of paradigms: phase locked methods, in which the amplitude of the signal is used as the feature for classification, e.g. event related potentials; and second order methods, in which the feature of interest is the power of the signal, e.g. event(More)
This paper describes a computerized estimating system that can be used to quantify the weight of wood, gypsum drywall, roof asphalt shingles, and carpet waste generated from new construction and demolition activities in residential construction projects. The system’s main input is the housing permit statistics, usually available from various States’(More)
Eye-tracking has been extensively used to quantify audience preferences in the context of marketing and advertising research, primarily in methodologies involving static images or stimuli (i.e., advertising, shelf testing, and website usability). However, these methodologies do not generalize to narrative-based video stimuli where a specific storyline is(More)
The conventional goal for a brain-computer interface has been to restore, for paralyzed individuals, a seamless interaction with the world. The shared vision in this research area is that one-day patients will control a prosthetic device with signals originating directly from their brain. This review provides a new perspective on the brain-computer(More)
A key objective in systems and cognitive neuroscience is to establish associations between behavioral measures and concurrent neuronal activity. Single-trial analysis has been proposed as a novel method for characterizing such correlates by first extracting neural components that maximally discriminate trials on a categorical variable, (e.g., hard vs. easy,(More)