Gary McDarby

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This paper presents the application of an effective EEG-based brain-computer interface design for binary control in a visually elaborate immersive 3D game. The BCI uses the steady-state visual evoked potential (SSVEP) generated in response to phasereversing checkerboard patterns. Two power-spectrum estimation methods were employed for feature extraction in(More)
This paper presents a novel brain computer interface (BCI) design employing visual evoked potential (VEP) modulations in a paradigm involving no dependency on peripheral muscles or nerves. The system utilizes electrophysiological correlates of visual spatial attention mechanisms, the self-regulation of which is naturally developed through continuous(More)
Stochastic fractal signals can be characterized by the Hurst coefficient H, which is related to the exponents of various power-law statistics characteristic of these processes. Two techniques widely used to estimate H are spectral analysis and detrended fluctuation analysis ~DFA!. This paper examines the analytical link between these two measures and shows(More)
A brain-computer interface (BCI) gives those suffering from neuromuscular impairments a means to interact and communicate with their surrounding environment. A BCI translates physiological signals, typically electrical, detected from the brain to control an output device. A significant problem with current BCIs is the lengthy training periods involved for(More)
Faster and less obtrusive means for measuring a Visual Evoked Potential would be valuable in clinical testing and basic neuroscience research. This study presents a method for accomplishing this by smoothly modulating the luminance of a visual stimulus using a stochastic process. Despite its visually unobtrusive nature, the rich statistical structure of the(More)
In this paper we introduce the idea of enhancing biofeedback by placing it within a competitive virtual gaming environment. This is an example of a new concept to be called ‘Affective Feedback’. In essence this term means that the computer is an active intelligent participant in the biofeedback loop. The relationship between human and machine is now two way(More)
This paper presents an implementation of an effective EEG-based Brain Computer Interface design as the control mechanism for an immersive 3-D game. The BCI is based on the application of the steady-state visual evoked potential (SSVEP) generated in response to phase-reversing checkerboard patterns. Real-time game control and signal processing is facilitated(More)
We investigate the lifting scheme as a method for constructing compactly supported biorthogonal scaling functions and wavelets. A well-known issue arising with the use of this scheme is that the resulting functions are only formally biorthogonal. It is not guaranteed that the new wavelet bases actually exist in an acceptable sense. To verify that these(More)
HandWave is a small, wireless, networked skin conductance sensor for affective computing applications. It is used to detect information related to emotional, cognitive, and physical arousal of mobile users. Many existing affective computing systems make use of sensors that are inflexible and often physically attached to supporting computers. In contrast,(More)
Introduction Since Near-Infrared Spectroscopy (NIRS) was first reported in 1977 by Jobsis[1] as a new “window” into the body, it has found many uses within the biomedical field. Single channel near-infrared systems are most commonly used in clinical surroundings for transcranial cerebral oximetry in neonatal care, hematoma detection, and stroke patient(More)