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.
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Showing 1 to 20 of 73 for “"Brain-computer interfaces"”.
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Privacy and Brain-Computer Interfaces
… thesis draws on three distinct fields: privacy, brain-computer interfaces (BCIs), and critical theory (specifically, Habermas’s Theory of Communicative Action). There are two aims. The first is to identify whether BCIs disrupt privacy, and if so, how. The second is to contribute methodological …
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Shared control in brain computer interfaces
… and independent transport functionality. Brain computer interfaces (BCIs) o er the potential to enable robotic wheelchair control through the monitoring and categorisation of brain activity signals. This enables users to control the wheelchair through the use of prede ned thought patterns. …
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Motor Imagery Based Brain Computer Interfaces
Brain Computer Interface (BCI) is an emerging technology which enables humans to communicate with external devices using their brain signals. Motor imagery classification is one such area in BCI systems where the goal is to detect and classify the motor related intentions of humans using their …
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Spiking Neural Network Framework for Brain Computer Interfaces
In the field of Brain-computer interfaces (BCI), the majority of studies often rely on electroencephalography (EEG) over invasive methods despite the influence of noise and insufficient spatial resolution due to EEG's simplicity for practical usage. However, with EEG being an accumulation of …
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Improving Group Decision Making with Collaborative Brain-Computer Interfaces
… This thesis proposes a hybrid collaborative Brain-Computer Interface (cBCI) for improving performance in group decision-making. Neural signals recorded via electroencephalography are integrated with other physiological and behavioural measures to predict the likelihood of the user being …
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Investigation into Stand-alone Brain-computer Interfaces for Musical Applications
Brain-computer interfaces (BCIs) aim to establish a communication medium that is independent of muscle control. This project investigates how BCIs can be harnessed for musical applications. The impact of such systems is twofold — (i) it offers a novel mechanism of control for musicians during …
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Adaptation and Control State Detection Techniques for Brain-Computer Interfaces
A brain computer interface (BCI) is an alternate channel of communication between the user and the computer, without having to go through the usual neuromuscular pathways. Using BCI, disabled patients can communicate with a computer or control a prosthetic device just by modulating his/her brain …
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Dual-Band Power and Communication Antennas for Wireless Brain-Computer Interfaces
Implanted biomedical devices such as wireless brain-computer interfaces (BCIs) for neural recording and stimulation face two key challenges: (1) remaining powered over a long duration and (2) communicating with an external system with sufficient bandwidth in an unconstrained environment without …
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Collaborative Brain-Computer Interfaces in Rapid Image Presentation and Motion Pictures
The last few years have seen an increase in brain-computer interface (BCI) research for the able-bodied population. One of these new branches involves collaborative BCIs (cBCIs), in which information from several users is combined to improve the performance of a BCI system. This thesis is focused …
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EEG subspace analysis and classification using principal angles for brain-computer interfaces
Brain-Computer Interfaces (BCIs) help paralyzed people who have lost some or all of their ability to communicate and control the outside environment from loss of voluntary muscle control. Most BCIs are based on the classification of multichannel electroencephalography (EEG) signals recorded from …
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Steady-state visual evoked potentials and their application to brain-computer interfaces
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2019-12-01
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Fast Solutions Strategies for Integral Equations in Electromagnetics with Applications to Brain Computer Interfaces
L'abstract è presente nell'allegato / the abstract is in the attachment
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Sound-production Related Cognitive Tasks for Onset Detection in Self-Paced Brain-Computer Interfaces
… method of onset detection for Self-Paced (SP) Brain-Computer Interfaces (BCIs) to increase usability and practicality of BCIs towards real-world uses from laboratory research settings. Approach. To achieve this goal, various Sound-Production Related Cognitive Tasks (SPRCTs) were tested against …
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Applications of sequential hypothesis testing to the development of non-invasive brain-computer interfaces
… (EEG) data for use in non-invasive brain computer interfaces (BCIs). The first contribution is a variable window-length classification method for use in a steady-state visual evoked potential (SSVEP)-based BCI. Instead of relying on a fixed window-length strategy—where a …
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Neural Adaptation and the Effect of Interelectrode Spacing on Epidural Electrocorticography for Brain-Computer Interfaces
… a safe and reliable recording technique for both Brain-Computer Interface: BCI) applications as well as neurophysiology studies. This thesis describes some of the first real-time closed-loop BCI studies of chronic ECoG in non-human primates. Epidural microECoG electrodes developed in our lab were …
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A study on the utility of temporal derivatives and unsupervised clustering in brain-computer interfaces
Brain-computer interfaces (BCIs) rely on accurate classification of event-related potentials (ERP), a task commonly delegated to a machine-learning algorithm, which investigates features derived from the voltages (V) recorded at different scalp locations with the electro-encephalogram (EEG). The …
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Comparison and Development of Algorithms for Motor Imagery Classification in EEG- based Brain-Computer Interfaces
Brain-computer interfaces are an emerging technology that could provide channels for communication and control to severely disabled people suffering from locked-in syndrome. It has been found that motor imagery can be detected and classified from EEG signals. The motivation of the present work was …
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Marketing at the Human-Technology Frontier: Essays on AI Acceptance, Digital Twins, and Brain-Computer Interfaces
… rapidly evolving generative AI and early-stage brain-computer interfaces (BCIs), the boundary between human thought and machine intelligence is becoming more fluid than ever. As these technologies advance, they are quietly reshaping how people think, decide, shop, and interact. Marketing, which …
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Integrated Real-Time Control And Processing Systems For Multi-Channel Near-Infrared Spectroscopy Based Brain Computer Interfaces
… ysis of Near-infrared spectroscopy (NIRS) based brain-computer interfaces (BCI). These approaches were developed in conjunction with the implemen- tation of a new customized exible multi-channel NIRS based BCI hardware system (Soraghan, 2010). Using a comparable functional imaging modality the …
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