Passive BCI beyond the lab: current trends and future directions
Over the last decade, passive brain–computer interface (BCI) algorithms and biosignal
acquisition technologies have experienced a significant growth that has allowed the real …
acquisition technologies have experienced a significant growth that has allowed the real …
EEG-based detection of mental workload level and stress: the effect of variation in each state on classification of the other
M Bagheri, SD Power - Journal of Neural Engineering, 2020 - iopscience.iop.org
Objective. A passive brain-computer interface (pBCI) is a system that continuously adapts
human-computer interaction to the user's state. Key to the efficacy of such a system is the …
human-computer interaction to the user's state. Key to the efficacy of such a system is the …
Sensorimotor brain–computer interface performance depends on signal-to-noise ratio but not connectivity of the mu rhythm in a multiverse analysis of longitudinal data
Objective. Serving as a channel for communication with locked-in patients or control of
prostheses, sensorimotor brain–computer interfaces (BCIs) decode imaginary movements …
prostheses, sensorimotor brain–computer interfaces (BCIs) decode imaginary movements …
Improving the analysis of near-infrared spectroscopy data with multivariate classification of hemodynamic patterns: a theoretical formulation and validation
J Gemignani, E Middell, RL Barbour… - Journal of neural …, 2018 - iopscience.iop.org
Objective. The statistical analysis of functional near infrared spectroscopy (fNIRS) data
based on the general linear model (GLM) is often made difficult by serial correlations, high …
based on the general linear model (GLM) is often made difficult by serial correlations, high …
Improving zero-training brain-computer interfaces by mixing model estimators
Objective. Brain-computer interfaces (BCI) based on event-related potentials (ERP)
incorporate a decoder to classify recorded brain signals and subsequently select a control …
incorporate a decoder to classify recorded brain signals and subsequently select a control …
Performance prediction for a near-infrared spectroscopy-brain–computer interface using resting-state functional connectivity of the prefrontal Cortex
One of the most important issues in current brain–computer interface (BCI) research is the
prediction of a user's BCI performance prior to the main BCI session because it would be …
prediction of a user's BCI performance prior to the main BCI session because it would be …
Brain–computer interaction for online enhancement of visuospatial attention performance
Objective. this study on real-time decoding of visuospatial attention has two objectives: first,
to reliably decode self-directed shifts of attention from electroencephalography (EEG) data …
to reliably decode self-directed shifts of attention from electroencephalography (EEG) data …
Building Connections for a Secure User Experience
D Blank, RK Kosuru - HCI for Cybersecurity, Privacy and Trust: Second …, 2020 - Springer
The focus on design areas that motivate users, enhance user experience instead of just
making it usable has made security with respect to data privacy an important topic. There is …
making it usable has made security with respect to data privacy an important topic. There is …