☆ 4.6 Article

A hybrid BCI combining SSVEP and EOG and its application for continuous wheelchair control

BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2024)

Related references

Note: Only part of the references are listed.

Article Neurosciences

An online hybrid BCI combining SSVEP and EOG-based eye movements

Jun Zhang et al.

Summary: This paper proposes an online hybrid BCI system that combines SSVEP and eye movements to improve the performance of BCI systems. The SSVEP is induced by flashing 20 buttons evenly distributed in the GUI, while eye movements are generated by the subject continuously staring at the target after the flash. The CCA method and FBCCA method are used to detect SSVEP, and the electrooculography (EOG) waveform is used to detect eye movements. A decision-making method based on SSVEP and EOG features is proposed to further enhance the performance of the hybrid BCI system. The system achieves an average accuracy of 94.75% and an information transfer rate of 108.63 bits/min.

FRONTIERS IN HUMAN NEUROSCIENCE (2023)

Add to Collection

Article Neurosciences

Effects of Gaze Fixation on the Performance of a Motor Imagery-Based Brain-Computer Interface

Jianjun Meng et al.

Summary: This study investigated the impact of gaze fixation and covert attention on motor imagery-based brain-computer interface (BCI) performance by designing a gaze fixation controlled experiment. Results showed that there was a significantly shorter gaze shift response time in congruent trials compared to incongruent trials. However, the lateralization index computed from the parietal and occipital areas did not correlate with BCI behavioral performance.

FRONTIERS IN HUMAN NEUROSCIENCE (2022)

Add to Collection

Article Engineering, Biomedical

Enhanced System Robustness of Asynchronous BCI in Augmented Reality Using Steady-State Motion Visual Evoked Potential

Aravind Ravi et al.

Summary: This study evaluated the effect of background change on steady state visually evoked potentials (SSVEP) and steady state motion visually evoked potentials (SSMVEP) based brain computer interfaces (BCI) in a small-profile augmented reality (AR) headset. The results showed that SSMVEP was more robust to background change compared to SSVEP and had higher decoding accuracy using the C-CNN method.

IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING (2022)

Add to Collection

Article Engineering, Biomedical

Latency Aligning Task-Related Component Analysis Using Wave Propagation for Enhancing SSVEP-Based BCIs

Jiayang Huang et al.

Summary: In this paper, a new method called Latency Aligning TRCA (LA-TRCA) is proposed to enhance the detection performance of SSVEP. This method aligns the visual latencies on channels to obtain accurate phase information from task-related signals. The experimental results demonstrate that the LA-TRCA method outperforms other TRCA-based methods in terms of classification performance.

IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING (2022)

Add to Collection

Article Engineering, Biomedical

Similarity-constrained task-related component analysis for enhancing SSVEP detection

Qiang Sun et al.

Summary: The proposed similarity-constrained TRCA algorithm significantly outperforms other methods in enhancing SSVEP detection, especially showing more significant improvement when training data is insufficient.

JOURNAL OF NEURAL ENGINEERING (2021)

Add to Collection

Article Engineering, Biomedical

Implementing a calibration-free SSVEP-based BCI system with 160 targets

Yonghao Chen et al.

Summary: This study introduced a calibration-free SSVEP-BCI system with 160 targets, achieving high classification accuracy and information transfer rate, expanding the application scenarios of SSVEP-based BCI systems.

JOURNAL OF NEURAL ENGINEERING (2021)

Add to Collection

Article Engineering, Biomedical

Improving the Performance of Individually Calibrated SSVEP-BCI by Task- Discriminant Component Analysis

Bingchuan Liu et al.

Summary: The study introduces a novel method called task-discriminant component analysis (TDCA) to enhance the performance of individually calibrated SSVEP-BCI. Results from experiments and data analysis show that TDCA outperforms other competing methods in terms of performance.

IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING (2021)

Add to Collection

Article Engineering, Biomedical

A comparison of EOG baseline drift mitigation techniques

Nathaniel Barbara et al.

BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2020)

Add to Collection

Article Engineering, Biomedical

A Bayesian Shared Control Approach for Wheelchair Robot With Brain Machine Interface

Xiaoyan Deng et al.

IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING (2020)

Add to Collection

Article Robotics

The Role of the Control Framework for Continuous Teleoperation of a Brain-Machine Interface-Driven Mobile Robot

Luca Tonin et al.

IEEE TRANSACTIONS ON ROBOTICS (2020)

Add to Collection

Article Engineering, Biomedical

Comparing user-dependent and user-independent training of CNN for SSVEP BCI

Aravind Ravi et al.

JOURNAL OF NEURAL ENGINEERING (2020)

Add to Collection

Article Computer Science, Artificial Intelligence

A virtual speller system using SSVEP and electrooculogram

D. Saravanakumar et al.

ADVANCED ENGINEERING INFORMATICS (2020)

Add to Collection

Article Engineering, Biomedical

Self-adaptive shared control with brain state evaluation network for human-wheelchair cooperation

Xiaoyan Deng et al.

JOURNAL OF NEURAL ENGINEERING (2020)

Add to Collection

Article Engineering, Biomedical

Developing a Novel Tactile P300 Brain-Computer Interface With a Cheeks-Stim Paradigm

Jing Jin et al.

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2020)

Add to Collection

Article Computer Science, Artificial Intelligence

A Hybrid BCI Based on SSVEP and EOG for Robotic Arm Control

Yuanlu Zhu et al.

FRONTIERS IN NEUROROBOTICS (2020)

Add to Collection

Proceedings Paper Computer Science, Artificial Intelligence

A Brain Computer Interface based Communication System using SSVEP and EOG

D. Saravanakumar et al.

INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND DATA SCIENCE (2020)

Add to Collection

Article Engineering, Biomedical

Operate P300 speller when performing other task

Yihao Huang et al.

JOURNAL OF NEURAL ENGINEERING (2020)

Add to Collection

Article Robotics

Noninvasive neuroimaging enhances continuous neural tracking for robotic device control

B. J. Edelman et al.

SCIENCE ROBOTICS (2019)

Add to Collection

Review Engineering, Biomedical

A comprehensive review of EEG-based brain-computer interface paradigms

Reza Abiri et al.

JOURNAL OF NEURAL ENGINEERING (2019)

Add to Collection

Article Engineering, Biomedical

An Asynchronous Control Paradigm Based on Sequential Motor Imagery and Its Application in Wheelchair Navigation

Yang Yu et al.

IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING (2018)

Add to Collection

Article Ophthalmology

ISCEV Standard for clinical electro-oculography (2017 update)

Paul A. Constable et al.

DOCUMENTA OPHTHALMOLOGICA (2017)

Add to Collection

Article Engineering, Biomedical

Advancing the detection of steady-state visual evoked potentials in brain-computer interfaces

Mohammad Abu-Alqumsan et al.

JOURNAL OF NEURAL ENGINEERING (2016)

Add to Collection

Review Engineering, Biomedical

Review of real brain-controlled wheelchairs

A. Fernandez-Rodriguez et al.

JOURNAL OF NEURAL ENGINEERING (2016)

Add to Collection

Article Neurosciences

Design and Evaluation of Fusion Approach for Combining Brain and Gaze Inputs for Target Selection

Andeol Evain et al.

FRONTIERS IN NEUROSCIENCE (2016)

Add to Collection

Article Multidisciplinary Sciences

Noninvasive Electroencephalogram Based Control of a Robotic Arm for Reach and Grasp Tasks

Jianjun Meng et al.

SCIENTIFIC REPORTS (2016)

Add to Collection

Article Engineering, Biomedical

Filter bank canonical correlation analysis for implementing a high-speed SSVEP-based brain-computer interface

Xiaogang Chen et al.

JOURNAL OF NEURAL ENGINEERING (2015)

Add to Collection

Article Multidisciplinary Sciences

High-speed spelling with a noninvasive brain-computer interface

Xiaogang Chen et al.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2015)

Add to Collection

Article Multidisciplinary Sciences

A Comparison Study of Canonical Correlation Analysis Based Methods for Detecting Steady-State Visual Evoked Potentials

Masaki Nakanishi et al.

PLOS ONE (2015)

Add to Collection

Article Engineering, Civil

Using a Head-up Display-Based Steady-State Visually Evoked Potential Brain-Computer Interface to Control a Simulated Vehicle

Luzheng Bi et al.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2014)

Add to Collection

Article Engineering, Biomedical

HMM based automated wheelchair navigation using EOG traces in EEG

Fayeem Aziz et al.

JOURNAL OF NEURAL ENGINEERING (2014)

Add to Collection

Article Engineering, Biomedical

Commanding a robotic wheelchair with a high-frequency steady-state visual evoked potential based brain-computer interface

Pablo F. Diez et al.

MEDICAL ENGINEERING & PHYSICS (2013)

Add to Collection

Article Engineering, Biomedical

An online multi-channel SSVEP-based brain-computer interface using a canonical correlation analysis method

Guangyu Bin et al.

JOURNAL OF NEURAL ENGINEERING (2009)

Add to Collection

Article Neurosciences

Mu rhythm (de)synchronization and EEG single-trial classification of different motor imagery tasks

G. Pfurtscheller et al.

NEUROIMAGE (2006)

Add to Collection

Article Multidisciplinary Sciences

Control of a two-dimensional movement signal by a noninvasive brain-computer interface in humans

JR Wolpaw et al.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2004)

Add to Collection

© Peeref 2019-2024. All rights reserved.