Search Results - "Volosyak, Ivan"

Dynamic time window mechanism for time synchronous VEP-based BCIs-Performance evaluation with a dictionary-supported BCI speller employing SSVEP and c-VEP by Gembler, Felix, Stawicki, Piotr, Saboor, Abdul, Volosyak, Ivan

“…Brain-Computer Interfaces (BCIs) based on visual evoked potentials (VEPs) allow high communication speeds and accuracies. The fastest speeds can be achieved if…”
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Brain-Computer Interface Spellers: A Review by Rezeika, Aya, Benda, Mihaly, Stawicki, Piotr, Gembler, Felix, Saboor, Abdul, Volosyak, Ivan

“…A Brain-Computer Interface (BCI) provides a novel non-muscular communication method via brain signals. A BCI-speller can be considered as one of the first…”
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Multiple Channel Detection of Steady-State Visual Evoked Potentials for Brain-Computer Interfaces by Friman, Ola, Volosyak, Ivan, Graser, Axel

“…In this paper, novel methods for detecting steady-state visual evoked potentials using multiple electroencephalogram (EEG) signals are presented. The methods…”
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A Novel Hybrid Mental Spelling Application Based on Eye Tracking and SSVEP-Based BCI by Stawicki, Piotr, Gembler, Felix, Rezeika, Aya, Volosyak, Ivan

“…Steady state visual evoked potentials (SSVEPs)-based Brain-Computer interfaces (BCIs), as well as eyetracking devices, provide a pathway for re-establishing…”
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BCI Demographics: How Many (and What Kinds of) People Can Use an SSVEP BCI? by Allison, Brendan, Luth, Thorsten, Valbuena, Diana, Teymourian, Amir, Volosyak, Ivan, Graser, Axel

“…Brain-computer interface (BCI) systems enable communication without movement. It is unclear why some BCI approaches or parameters are less effective with some…”
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cVEP Training Data Validation-Towards Optimal Training Set Composition from Multi-Day Data by Stawicki, Piotr, Volosyak, Ivan

“…This paper investigates the effects of the repetitive block-wise training process on the classification accuracy for a code-modulated visual evoked potentials…”
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Comparison of Modern Highly Interactive Flicker-Free Steady State Motion Visual Evoked Potentials for Practical Brain-Computer Interfaces by Stawicki, Piotr, Volosyak, Ivan

“…Motion-based visual evoked potentials (mVEP) is a new emerging trend in the field of steady-state visual evoked potentials (SSVEP)-based brain-computer…”
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Driving a Semiautonomous Mobile Robotic Car Controlled by an SSVEP-Based BCI by Stawicki, Piotr, Volosyak, Ivan, Gembler, Felix

“…Brain-computer interfaces represent a range of acknowledged technologies that translate brain activity into computer commands. The aim of our research is to…”
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Comparison of Different Visual Feedback Methods for SSVEP-Based BCIs by Benda, Mihaly, Volosyak, Ivan

“…In this paper we compared different visual feedback methods, informing users about classification progress in a steady-state visual evoked potential…”
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A Novel Dictionary-Driven Mental Spelling Application Based on Code-Modulated Visual Evoked Potentials by Gembler, Felix, Volosyak, Ivan

“…Brain–computer interfaces (BCIs) based on code-modulated visual evoked potentials (c-VEPs) typically utilize a synchronous approach to identify targets (i.e.,…”
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Editorial: Brain-Computer Interfaces: Novel Applications and Interactive Technologies by Minguillon, Jesus, Volosyak, Ivan, Guger, Christoph, Tangermann, Michael, Lopez, Miguel Angel

“…The recent integration of miniaturized electronics with wireless communication technologies has permitted the development of multimodal and wearable…”
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Evaluation of Different Visual Feedback Methods for Brain-Computer Interfaces (BCI) Based on Code-Modulated Visual Evoked Potentials (cVEP) by Fodor, Milán András, Herschel, Hannah, Cantürk, Atilla, Heisenberg, Gernot, Volosyak, Ivan

“…Brain-computer interfaces (BCIs) enable direct communication between the brain and external devices using electroencephalography (EEG) signals. BCIs based on…”
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SSVEP-based Bremen-BCI interface--boosting information transfer rates by Volosyak, Ivan

“…In recent years, there has been increased interest in using steady-state visual evoked potentials (SSVEP) in brain-computer interface (BCI) systems; the SSVEP…”
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Age-related differences in SSVEP-based BCI performance by Volosyak, Ivan, Gembler, Felix, Stawicki, Piotr

“…Brain–Computer Interface (BCI) systems analyze brain signals to generate control commands for computer applications or external devices. Utilized as…”
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Peak Detection with Online Electroencephalography (EEG) Artifact Removal for Brain-Computer Interface (BCI) Purposes by Benda, Mihaly, Volosyak, Ivan

“…Brain-computer interfaces (BCIs) measure brain activity and translate it to control computer programs or external devices. However, the activity generated by…”
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BCI Demographics II: How Many (and What Kinds of) People Can Use a High-Frequency SSVEP BCI? by Volosyak, Ivan, Valbuena, Diana, Luth, Thorsten, Malechka, Tatsiana, Graser, Axel

“…Brain-computer interface (BCI) systems use brain activity as an input signal and enable communication without movement. This study is a successor of our…”
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Asynchronous c-VEP communication tools—efficiency comparison of low-target, multi-target and dictionary-assisted BCI spellers by Gembler, Felix W., Benda, Mihaly, Rezeika, Aya, Stawicki, Piotr R., Volosyak, Ivan

“…Keyboards and smartphones allow users to express their thoughts freely via manual control. Hands-free communication can be realized with brain–computer…”
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Performance of a Steady-State Visual Evoked Potential and Eye Gaze Hybrid Brain-Computer Interface on Participants With and Without a Brain Injury by Brennan, Chris, McCullagh, Paul, Lightbody, Gaye, Galway, Leo, McClean, Sally, Stawicki, Piotr, Gembler, Felix, Volosyak, Ivan, Armstrong, Elaine, Thompson, Eileen

“…The brain-computer interface (BCI) and the tracking of eye gaze provide modalities for human-machine communication and control. In this article, we provide the…”
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Optimal Electrode Positions for an SSVEP-based BCI by Marx, Elena, Benda, Mihaly, Volosyak, Ivan

“…In this paper, the performance of a steady-state visually evoked potential (SSVEP)-based brain-computer interface (BCI) was evaluated after reducing the number…”
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Exploring Session-to-Session Transfer for Brain-Computer Interfaces based on Code-Modulated Visual Evoked Potentials by Gembler, Felix, Stawicki, Piotr, Rezeika, Aya, Benda, Mihaly, Volosyak, Ivan

“…Brain-computer interfaces (BCIs) based on code-modulated visual evoked potentials (c-VEPs) hold promise to serve as a fast and reliable hands-free…”
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