Motor imagery and error related potential induced position control of a robotic arm
S Bhattacharyya, A Konar… - IEEE/CAA Journal of …, 2017 - ieeexplore.ieee.org
The paper introduces an electroencephalography U+ 0028 EEG U+ 0029 driven online
position control scheme for a robot arm by utilizing motor imagery to activate and error …
position control scheme for a robot arm by utilizing motor imagery to activate and error …
[HTML][HTML] SSVEP BCI and eye tracking use by individuals with late-stage ALS and visual impairments
Access to communication is critical for individuals with late-stage amyotrophic lateral
sclerosis (ALS) and minimal volitional movement, but they sometimes present with …
sclerosis (ALS) and minimal volitional movement, but they sometimes present with …
[HTML][HTML] Plug-and-play supervisory control using muscle and brain signals for real-time gesture and error detection
Effective human supervision of robots can be key for ensuring correct robot operation in a
variety of potentially safety-critical scenarios. This paper takes a step towards fast and …
variety of potentially safety-critical scenarios. This paper takes a step towards fast and …
Recursive bayesian coding for bcis
M Higger, F Quivira, M Akcakaya… - … on Neural Systems …, 2016 - ieeexplore.ieee.org
Brain-Computer Interfaces (BCIs) seek to infer some task symbol, a task relevant instruction,
from brain symbols, classifiable physiological states. For example, in a motor imagery robot …
from brain symbols, classifiable physiological states. For example, in a motor imagery robot …
Effects of simulated visual acuity and ocular motility impairments on SSVEP brain-computer interface performance: an experiment with Shuffle Speller
Individuals with severe speech and physical impairments may have concomitant visual
acuity impairments (VAI) or ocular motility impairments (OMI) impacting visual BCI use. We …
acuity impairments (VAI) or ocular motility impairments (OMI) impacting visual BCI use. We …
A novel hybrid approach for intent creation and detection using k-means-based topic clustering and heuristic-based capsule network
Background: The social media revolution has offered new facilities and opportunities to the
online community to communicate their intentions, opinions, and views regarding products …
online community to communicate their intentions, opinions, and views regarding products …
[HTML][HTML] Transfer learning for SSVEP electroencephalography based brain–computer interfaces using learn++. NSE and mutual information
M Sybeldon, L Schmit, M Akcakaya - Entropy, 2017 - mdpi.com
Brain–Computer Interfaces (BCI) using Steady-State Visual Evoked Potentials (SSVEP) are
sometimes used by injured patients seeking to use a computer. Canonical Correlation …
sometimes used by injured patients seeking to use a computer. Canonical Correlation …
Wireless Stimulus‐on‐Device Design for Novel P300 Hybrid Brain‐Computer Interface Applications
CH Kuo, HH Chen, HC Chou… - Computational …, 2018 - Wiley Online Library
Improving the independent living ability of people who have suffered spinal cord injuries
(SCIs) is essential for their quality of life. Brain‐computer interfaces (BCIs) provide promising …
(SCIs) is essential for their quality of life. Brain‐computer interfaces (BCIs) provide promising …
Automatic detection of ssvep using independent component analysis
M Kolodziej, A Majkowski… - 2016 Signal Processing …, 2016 - ieeexplore.ieee.org
A new method of automatic SSVEP detection in the EEG signal based on Independent
Components Analysis (A-ICA) is described in the article. For the presented method reduction …
Components Analysis (A-ICA) is described in the article. For the presented method reduction …
Transfer learning for EEG based BCI using LEARN++. NSE and mutual information
In this paper, the use of mutual information and the Learn++. NSE algorithm is proposed to
create an EEG SSVEP BCI system that can select and utilize data sets originating from a …
create an EEG SSVEP BCI system that can select and utilize data sets originating from a …