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Showing 1 to 8 of 8 for “"steady-state visually evoked potentials"”.

  1. Investigating Steady State Visually Evoked Potentials as a Novel Biosignature for Anxiety-Related Attention Bias

    … have yielded encouraging early findings. The steady-state visually evoked potential (SSVEP), a measure of selective visual attention derived from EEG, holds promise as a biosignature for AB. Research documents heightened SSVEP power to emotionally salient stimuli such as threat faces among …

    cuny-grad Repository record for Investigating Steady State Visually Evoked Potentials as a Novel Biosignature for Anxiety-Related Attention Bias (opens in a new tab)

  2. A supervised machine-learning method for detecting steady-state visually evoked potentials for use in brain computer interfaces: A comparative assessment

    … the estimated parameters output by a model for visually evoked potentials (VEPs), created by Kremlácek et al. (2002), could be used to classify steady-state visually evoked potentials (SSVEP) by frequency of stimulation. Classification of SSVEPs by stimulus frequency has application in …

    cape-town Repository record for A supervised machine-learning method for detecting steady-state visually evoked potentials for use in brain computer interfaces: A comparative assessment (opens in a new tab)

  3. Examining Face Perception with Self-Reports and Neural Measures: An SSVEP study

    … electroencephalography (EEG) measurements using steady-state visually evoked potentials (SSVEPs). It was then compared to the neural activity during object recognition. Participants with varying self-reported scores on the PI20 questionnaire (Twenty Item Prosopagnosia Index) took part in two …

    u-iceland Repository record for Examining Face Perception with Self-Reports and Neural Measures: An SSVEP study (opens in a new tab)

  4. Adaptation and Control State Detection Techniques for Brain-Computer Interfaces

    … practical BCI system - adaptation and control state detection. Adaptation is the ability of the BCI system to adapt to incoming data, and control state detection refers to its ability to determine whether the user is actively giving input. A co-training based approach is proposed for …

    nus Repository record for Adaptation and Control State Detection Techniques for Brain-Computer Interfaces (opens in a new tab)

  5. Responsive IoT : using biosignals to connect humans and smart devices

    … objects, which may share information about their state, location and sensed data among others. Today, humans communicate with IoT devices through visual, voice or tactile interfaces. More natural and organic interaction requires more sophisticated communication methods. This thesis explores …

    mit Repository record for Responsive IoT : using biosignals to connect humans and smart devices (opens in a new tab)

  6. Human control of robots over discrete noisy channels with high latency: toward efficient EEG-based brain-robot interfaces

    … specify text commands with inputs obtained from steady-state visually-evoked potentials in EEG at a rate twice as fast as they would using prior state-of-the-art text entry interfaces working with the same input mechanism. This interface showed the importance of querying human intent adaptively …

    uiuc Repository record for Human control of robots over discrete noisy channels with high latency: toward efficient EEG-based brain-robot interfaces (opens in a new tab)

  7. An SSVEP Brain-Computer Interface: A Machine Learning Approach

    … neurophysiological features in BCI systems, steady state visually evoked potentials (SSVEP), natural responses to visual stimulation at specific frequencies, has increasingly drawn attentions because of its high temporal resolution and minimal user training, which are two important parameters …

    mississippi Repository record for An SSVEP Brain-Computer Interface: A Machine Learning Approach (opens in a new tab)

  8. Capturing Tacit Knowledge of Experts through the Study of Visual Attention: Applications for Human Expertise and AI

    … stimuli that elicit the corresponding Steady-State Visually Evoked Potentials (SSVEPs). This opens opportunities for attention-tracking applications with largely increased number of targets in the visual field. In the second part of this thesis, we exploit our previously developed …

    mit Repository record for Capturing Tacit Knowledge of Experts through the Study of Visual Attention: Applications for Human Expertise and AI (opens in a new tab)