Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 85 for “"Brain-Computer Interface"”.
-
EEG signal processing in brain-computer interface
… known for a long time that as neurons within the brain fire, some measurable electrical activities is produced. Electroencephalography (EEG) is one way of measuring and recording of the electrical signals produced by these electrical activities via some sensor arrays across the scalp. Although …
-
EEG-based Brain Computer Interface with Deep Learning
Electroencephalogram (EEG)-based Brain Computer Interfaces (BCI) are very important and have been widely used in multiple application domains, ranging from human-computer interaction to medical and biomedical applications. To overcome the challenge of EEG representation learning, we propose a Long …
-
Brain computer interface using detection of movement intention
… paralysis, developments in the emerging area of Brain Computer Interfaces (BCI) offer the prospect that some level of independent function can be regained by using signals recorded from the brain to control mobility aids or other forms of assistive technology. However, current BCI's are often …
-
A Neurofeedback-based Near-infrared Spectroscopy Brain-computer Interface
Near-infrared spectroscopy (NIRS) brain-computer interfaces (BCIs) enable individuals to interact with their environment using only cognitive activities. This thesis investigates the development of a more user-friendly, intuitive, and easy to use NIRS-BCI through six research objectives: exploring …
-
Improving players' control over the NeuroSky brain-computer interface
… mid-2009, NeuroSky released the first consumer brain-computer interface (BCI). MindGames, since that time, has been developing games which players control with their powers of concentration and relaxation via consumer brain-computer interfaces. At present, all users of these novel interfaces are …
-
An SSVEP Brain-Computer Interface: A Machine Learning Approach
<p>A Brain-Computer Interface (BCI) provides a bidirectional communication path for a human to control an external device using brain signals. Among neurophysiological features in BCI systems, steady state visually evoked potentials (SSVEP), natural responses to visual stimulation at specific …
-
Brain-Computer Interface Fatigue in Children: Mechanisms and Impact
… are often unable to exercise such autonomy. Brain-computer interface (BCI) technology offer children with QCP unique opportunities for communication, environmental exploration, learning, and play. BCI research is rapidly developing but has neglected pediatric populations. Like many …
-
EEG-based brain-computer interface for human-robot collaboration
… to develop human-robot interactions based on Brain-Computer Interfaces (BCIs) transferring human cognition to robots directly. By collecting and encoding brain activities with BCIs, human can actively send commands to robots in thought or passively let robots monitor mental activities. We …
-
The Effects of Physiological Stress on Brain-Computer Interface Systems
Brain-Computer Interface (BCI) devices are an emerging technology that aims to revolutionise the way humans interact with various contemporary technologies. A significant challenge to the practical use of BCI devices is the signal sensitivity to changes in a user's physical and emotional state. …
-
The Design and Implementation of an Extensible Brain-Computer Interface
An implantable brain computer interface: BCI) includes tissue interface hardware, signal conditioning circuitry, analog-to-digital conversion: ADC) circuitry and some sort of computing hardware to discriminate desired waveforms from noise. Within an experimental paradigm the tissue interface and …
-
Evaluation Of Paradigms For A P300 Based Brain Computer Interface Speller
… to compare a few different paradigms for the brain computer interface (BCI) virtual speller using the P300 signal. The paradigms consist of electrodes to record electroencephalogram signal (EEG), software to analyze the data, and a computer where the subject's EEG is the input for a virtual …
-
Improving Brain-Computer Interface Performance: Giving the P300 Speller Some Color.
… face the possibility of the loss of speech. A Brain-Computer Interface (BCI) can provide a means for communication through non-muscular control. Current BCI systems use characters that flash from gray to white (GW), making adjacent character difficult to distinguish from the target. The current …
-
A multi-level brain-computer interface for object recognition and object identification
This research introduces an innovative BCI system designed to decode a user's intention towards an object, determining whether it pertains to object recognition or identification, and then channel the data to an algorithm trained specifically for those tasks. It consists of two principal …
-
The effects of mental training on brain computer interface performance with distractions
The overall success of a brain computer interface (BCI) is largely dependent on the features used to make decisions. Noise in the electroencephalography (EEG) increases the difficulty of acquiring meaningful features. Previous literature suggests teaching subjects meditation and relaxation …
-
Brain computer interface based neurorehabilitation technique using a commercially available EEG headset
… the therapeutic virtual or robotic movement. Brain Computer Interface (BCI) aims to open up a new rehabilitation option for clinical population having no residual movement due to disease or injury to the central or peripheral nervous system. Brain activity contains a wide variety of electrical …
-
Toward an Optical Brain-computer Interface based on Consciously-modulated Prefrontal Hemodynamic Activity
Brain-computer interface (BCI) technologies allow users to control external devices through brain activity alone, circumventing the somatic nervous system and the need for overt physical movement. BCIs may potentially benefit individuals with severe neuromuscular disorders who experience …
Page 1 of 5