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Showing 1 to 20 of 25 for “"brain-computer interfaces (BCIs)"”.

  1. Towards improved visual stimulus discrimination in an SSVEP BCI

    … Potentials (SSVEPs) with a view for use in Brain-Computer Interfaces (BCIs). It was hypothesised that the new spectral baseline processing method introduced here, termed the 'activity baseline', would result in an improved SNR.

    cape-town Repository record for Towards improved visual stimulus discrimination in an SSVEP BCI (opens in a new tab)

  2. 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 …

    de-montfort Repository record for Privacy and Brain-Computer Interfaces (opens in a new tab)

  3. Analyzing and Classifying Neural Dynamics from Intracranial Electroencephalography Signals in Brain-Computer Interface Applications

    Brain-Computer Interfaces (BCIs) that rely on motor imagery currently allow subjects to control quad-copters, robotic arms, and computer cursors. Recent advancements have been made possible because of breakthroughs in fields such as electrical engineering, computer science, and neuroscience. …

    vt Repository record for Analyzing and Classifying Neural Dynamics from Intracranial Electroencephalography Signals in Brain-Computer Interface Applications (opens in a new tab)

  4. Motor imagery classification using sparse representation of EEG signals

    The human brain is unquestionably the most complex organ of the body as it controls and processes its movement and senses. A healthy brain is able to generate responses to the signals it receives, and transmit messages to the body. Some neural disorders can impair the communication between the …

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  5. Conectividade cerebral como característica para classificar tarefas motoras de mesmo segmento corporal: Interação humano-robô

    … (EEG) has been widely studied to assist brain-computer interfaces (BCIs). However, same limb motor activity classification still remains a challenge due to EEG close spatial representation on the motor cortex area in such case. Brain connectivity measurements, such as Directed Transfer …

    brazil-uerj Repository record for Conectividade cerebral como característica para classificar tarefas motoras de mesmo segmento corporal: Interação humano-robô (opens in a new tab)

  6. Frequency Interception and Manipulation Vulnerabilities in Myoelectric-Computer Interface Signal Transmission

    Neural interface systems such as myoelectric-computer interfaces (MCIs) and brain-computer interfaces (BCIs) assist patients with motor impairments due to injury or neurodegenerative conditions. Neural interface research has focused on device accuracy and usability while neglecting to …

    vt Repository record for Frequency Interception and Manipulation Vulnerabilities in Myoelectric-Computer Interface Signal Transmission (opens in a new tab)

  7. Stimulus intensity effects on the steady-state visual evoked potential

    … SSVEPs are often used as input mechanisms for brain-computer interfaces (BCIs), systems that establish a direct communication channel between human brains and computers. User performance with SSVEP-based BCIs is dependent on the amplitude of the SSVEP response, which has been shown to be …

    uiuc Repository record for Stimulus intensity effects on the steady-state visual evoked potential (opens in a new tab)

  8. 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 …

    uiuc Repository record for EEG-based brain-computer interface for human-robot collaboration (opens in a new tab)

  9. Left-handed BCI - examining effects of handedness and hand dominance on EEG grasp classification

    Brain-Computer Interfaces (BCIs) are of high potential use to individuals whosemotor function is impaired, or who have undergone a loss of limb or limb functionality. Electroencephalography (EEG) is one popular method of collecting signals from the brain, and is commonly used in cases where other …

    umn Repository record for Left-handed BCI - examining effects of handedness and hand dominance on EEG grasp classification (opens in a new tab)

  10. 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 …

    toronto-retro Repository record for A Neurofeedback-based Near-infrared Spectroscopy Brain-computer Interface (opens in a new tab)

  11. Neural network security and optimization for single-person authentication using electroencephalogram data

    … needs to be considered. This is true for brain-computer interfaces (BCIs), which often use electroencephalogram (EEG) data as inputs and neural network classification to determine their function. EEG data can also serve as a form of biometric authentication, which would contribute to the …

    colostate Repository record for Neural network security and optimization for single-person authentication using electroencephalogram data (opens in a new tab)

  12. Somatosensory Map Following Stimulation of Rat Sciatic Nerve Using Polyimide Microfabricated Sieve Electrodes

    <p>Neural interfaces operate at the intersection of biology and electronics. Development of these interfaces has focused on making it possible to systematically extract intention from cortical activity, to actuate anything from prostheses to computer-assisted communication systems, primarily …

    wustl Repository record for Somatosensory Map Following Stimulation of Rat Sciatic Nerve Using Polyimide Microfabricated Sieve Electrodes (opens in a new tab)

  13. 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. …

    strathclyde Repository record for Shared control in brain computer interfaces (opens in a new tab)

  14. Optimising image feature zero-shot-learning with EEG

    In this thesis, brain-computer interfaces (BCIs) are proposed as the future of our communication with machines. Once our thoughts can be directly understood and actioned, huge gains in terms of productivity and usability from consumer to professional applications can be envisioned. However, in its …

    qu-belfast Repository record for Optimising image feature zero-shot-learning with EEG (opens in a new tab)

  15. 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 …

    essex Repository record for Sound-production Related Cognitive Tasks for Onset Detection in Self-Paced Brain-Computer Interfaces (opens in a new tab)

  16. 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 …

    plymouth Repository record for Investigation into Stand-alone Brain-computer Interfaces for Musical Applications (opens in a new tab)

  17. A study of password recall, perceived memorability, and strength using BCIs

    … and usability in passwords, using off-the-shelf brain-computer interfaces (BCIs). Initially, we conducted an experiment with 19 participants, where password recall was studied. We followed this with a second experiment with 77 participants, where perceived password memorability and recall were …

    uoit Repository record for A study of password recall, perceived memorability, and strength using BCIs (opens in a new tab)

  18. Machine-Learning-Based Approach to Decoding Physiological and Neural Signals

    … a key objective of my dissertation was to decode brain activity during the decision-making processes that lead to voluntary action. This was based on electroencephalography (EEG) and holds the promise for improved brain-computer interfaces (BCIs), particularly related to motor imagery (MI). We …

    chapman Repository record for Machine-Learning-Based Approach to Decoding Physiological and Neural Signals (opens in a new tab)

  19. 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 …

    colostate Repository record for EEG subspace analysis and classification using principal angles for brain-computer interfaces (opens in a new tab)

  20. 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 …

    essex Repository record for A study on the utility of temporal derivatives and unsupervised clustering in brain-computer interfaces (opens in a new tab)

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