activity
20172026
most citedCompact Convolutional Neural Networks for Classification of Asynchronous Steady-state Visual Evoked Potentials

268 citations · 342 across the 6 of their papers we have counts for

collaborators

6 papers

cs.HC2026

TouchFusion: Multimodal Wristband Sensing for Ubiquitous Touch Interactions

Eric Whitmire, Evan Strasnick, Roger Boldu +11

TouchFusion is a wristband that enables touch interactions on nearby surfaces without any additional instrumentation or computer vision. TouchFusion combines surface electromyograp…

q-bio.QM2019★ 35 cited

Ballistocardiogram artifact reduction in simultaneous EEG-fMRI using deep learning

J. R. McIntosh, J. Yao, Linbi Hong +2

Objective: The concurrent recording of electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) is a technique that has received much attention due to its pote…

cs.LG2018★ 268 cited

Compact Convolutional Neural Networks for Classification of Asynchronous Steady-state Visual Evoked Potentials

Nicholas R. Waytowich, Vernon Lawhern, Javier O. Garcia +4

Steady-State Visual Evoked Potentials (SSVEPs) are neural oscillations from the parietal and occipital regions of the brain that are evoked from flickering visual stimuli. SSVEPs a…

cs.OH2017★ 2 cited

SigViewer: Visualizing Multimodal Signals Stored in XDF (Extensible Data Format) Files

Yida Lin, Clemens Brunner, Paul Sajda +1

Multimodal biosignal acquisition is facilitated by recently introduced software solutions such as LabStreaming Layer (LSL) and its associated data format XDF (Extensible Data Forma…

q-bio.NC2017

A comparison of single-trial EEG classification and EEG-informed fMRI across three MR compatible EEG recording systems

Josef Faller, Linbi Hong, Jennifer Cummings +1

Simultaneously recorded electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) can be used to non-invasively measure the spatiotemporal dynamics of the human…

cs.HC2017★ 37 cited

A feasibility study on SSVEP-based interaction with motivating and immersive virtual and augmented reality

Josef Faller, Brendan Z. Allison, Clemens Brunner +4

Non-invasive steady-state visual evoked potential (SSVEP) based brain-computer interface (BCI) systems offer high bandwidth compared to other BCI types and require only minimal cal…