BCI Control of a Robotic Arm Based on SSVEP With Moving Stimuli for Reach and Grasp Tasks

Article Computer Science, Information Systems

Study on Robot Grasping System of SSVEP-BCI Based on Augmented Reality Stimulus

Shangen Zhang et al.

Summary: This study verified the reliability of the AR-BCI system and demonstrated the applicability of the AR-SSVEP-NAO system in robot grasping tasks.

TSINGHUA SCIENCE AND TECHNOLOGY (2023)

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Article Automation & Control Systems

A Shared Control Strategy for Reach and Grasp of Multiple Objects Using Robot Vision and Noninvasive Brain-Computer Interface

Yang Xu et al.

Summary: This paper presents a shared control strategy for a brain-controlled robotic arm, which enables patients with motor impairments to perform daily activities. The results of the experiments demonstrate that the shared control system outperforms the single BCI control, showing a significant improvement in success rate, task completion time, and perceived difficulty. This research has practical applications in assisting people with neuromuscular disorders or injuries in their daily lives.

IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING (2022)

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Article Computer Science, Artificial Intelligence

Control of a Robotic Arm With an Optimized Common Template-Based CCA Method for SSVEP-Based BCI

Fang Peng et al.

Summary: This study developed a brain-computer interface (BCI) system for controlling a robotic arm using steady-state visual evoked potential (SSVEP). The use of optimized common templates (OCTs) and a template-based method called OCT-based canonical correlation analysis (OCT-CCA) improved the accuracy of SSVEP recognition. Online experiments showed that the system enabled participants to independently control the robotic arm in a three-dimensional space.

FRONTIERS IN NEUROROBOTICS (2022)

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Article Chemistry, Analytical

Cross-Platform Implementation of an SSVEP-Based BCI for the Control of a 6-DOF Robotic Arm

Eduardo Quiles et al.

Summary: This study tested the feasibility of a low-cost robotic arm control system with an EEG-based brain-computer interface (BCI). The system utilized the Steady State Visually Evoked Potentials (SSVEP) paradigm and specific control software to communicate and integrate with the robot, allowing for robotic arm control. The use of a reduced number of dry electrodes facilitated the system's usability.

SENSORS (2022)

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Article Neurosciences

Exploring the effects of head movements and accompanying gaze fixation switch on steady-state visual evoked potential

Junyi Duan et al.

Summary: This study explored the effects of head movements and gaze fixation switch on SSVEP response and BCI performance using a ball tracking paradigm in a virtual reality environment. The results showed that head movement patterns significantly affected BCI decoding performance, while different moving tasks had no effect on the results. Additionally, canonical correlation analysis and filter bank canonical correlation analysis were more accurate than other methods.

FRONTIERS IN HUMAN NEUROSCIENCE (2022)

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Article Engineering, Biomedical

Augmented Reality Driven Steady-State Visual Evoked Potentials for Wheelchair Navigation

V Sakkalis et al.

Summary: This paper proposes a universal control system based on SSVEPs, augmented reality glasses, aiming to increase convenience and patient acceptance without compromising BCI performance. The system received positive user feedback and achieved high accuracy.

IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING (2022)

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Article Engineering, Biomedical

Machine-vision fused brain machine interface based on dynamic augmented reality visual stimulation

Deyu Zhang et al.

Summary: The study presents a brain-machine interface paradigm based on augmented reality for controlling robots in dynamic environments, with a high information transfer rate. Through machine vision and EEG technology, human intent interpretation and flexible robot control were achieved.

JOURNAL OF NEURAL ENGINEERING (2021)

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Article Engineering, Biomedical

Adaptive asynchronous control system of robotic arm based on augmented reality-assisted brain-computer interface

Lingling Chen et al.

Summary: This study proposed a robotic arm asynchronous control system based on SSVEP in an augmented reality environment. Experimental results demonstrate the feasibility of controlling the robotic arm effectively and reducing visual fatigue of participants.

JOURNAL OF NEURAL ENGINEERING (2021)

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Article Engineering, Biomedical

A brain-actuated robotic arm system using non-invasive hybrid brain-computer interface and shared control strategy

Linfeng Cao et al.

Summary: This study proposed a novel shared control model for optimizing control commands automatically and utilized hybrid BCI to enhance the performance of brain-actuated robotic arm systems. Experimental results indicated that under the shared control strategy, most subjects were able to complete accurate and robust picking tasks.

JOURNAL OF NEURAL ENGINEERING (2021)

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Article Biology

Customizing skills for assistive robotic manipulators, an inverse reinforcement learning approach with error-related potentials

Iason Batzianoulis et al.

Summary: Robotic assistance can be valuable for individuals with upper-limb motor disabilities, but BCI performance may vary, so giving control to the robot for tasks like obstacle avoidance is safer. Users can train the robot controller to adapt its approach through BCI detecting error-related potentials.

COMMUNICATIONS BIOLOGY (2021)

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Article Engineering, Biomedical

Research on steady-state visual evoked brain-computer interface based on moving stimuli

Zhihao Duan et al.

Summary: This study investigated the effect of stimuli with different speeds on system performance, taking into account the phase interval of the movement between stimuli. Results indicated that subjects' visual adaptation and attention to stimuli varied significantly for stimuli with different speeds and phase intervals, with optimal system performance observed at a speed of 200 pixels/s and a phase interval of 0.5π.

BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2021)

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Article Engineering, Biomedical

An online SSVEP-BCI system in an optical see-through augmented reality environment

Yufeng Ke et al.

JOURNAL OF NEURAL ENGINEERING (2020)

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Article Engineering, Biomedical

Facilitating Calibration in High-Speed BCI Spellers via Leveraging Cross-Device Shared Latent Responses

Masaki Nakanishi et al.

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2020)

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Article Neurosciences

BETA: A Large Benchmark Database Toward SSVEP-BCI Application

Bingchuan Liu et al.

FRONTIERS IN NEUROSCIENCE (2020)

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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)

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Article Engineering, Biomedical

Combination of Augmented Reality Based Brain- Computer Interface and Computer Vision for High-Level Control of a Robotic Arm

Xiaogang Chen et al.

IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING (2020)

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Article Engineering, Biomedical

A novel system of SSVEP-based human-robot coordination

Xu Han et al.

JOURNAL OF NEURAL ENGINEERING (2019)

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Article Automation & Control Systems

Shared control of a robotic arm using non-invasive brain-computer interface and computer vision guidance

Yang Xu et al.

ROBOTICS AND AUTONOMOUS SYSTEMS (2019)

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Article Robotics

Noninvasive neuroimaging enhances continuous neural tracking for robotic device control

B. J. Edelman et al.

SCIENCE ROBOTICS (2019)

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Article Engineering, Biomedical

Combination of high-frequency SSVEP-based BCI and computer vision for controlling a robotic arm

Xiaogang Chen et al.

JOURNAL OF NEURAL ENGINEERING (2019)

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Article Engineering, Biomedical

Enhancing Detection of SSVEPs for a High-Speed Brain Speller Using Task-Related Component Analysis

Masaki Nakanishi et al.

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2018)

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Article Computer Science, Artificial Intelligence

Control of a 7-DOF Robotic Arm System With an SSVEP-Based BCI

Xiaogang Chen et al.

INTERNATIONAL JOURNAL OF NEURAL SYSTEMS (2018)

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A EOG-based switch and its application for start/stop control of a wheelchair

Yuanqing Li et al.

NEUROCOMPUTING (2018)

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Noninvasive Electroencephalogram Based Control of a Robotic Arm for Writing Task Using Hybrid BCI System

Qiang Gao et al.

BIOMED RESEARCH INTERNATIONAL (2017)

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Article Multidisciplinary Sciences

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

Jianjun Meng et al.

SCIENTIFIC REPORTS (2016)

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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)

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Article Engineering, Biomedical

Sampled sinusoidal stimulation profile and multichannel fuzzy logic classification for monitor-based phase-coded SSVEP brain-computer interfacing

Nikolay V. Manyakov et al.

JOURNAL OF NEURAL ENGINEERING (2013)

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Article Medicine, General & Internal

High-performance neuroprosthetic control by an individual with tetraplegia

Jennifer L. Collinger et al.

LANCET (2013)

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Performance reliability estimation method based on adaptive failure threshold

Cheng Hua et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2013)

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Proposal of a SSVEP-BCI to Command a Robotic Wheelchair

Sandra Mara Torres Mueller et al.

JOURNAL OF CONTROL AUTOMATION AND ELECTRICAL SYSTEMS (2013)

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Reach and grasp by people with tetraplegia using a neurally controlled robotic arm

Leigh R. Hochberg et al.

NATURE (2012)

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

Guangyu Bin et al.

JOURNAL OF NEURAL ENGINEERING (2009)

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EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis

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JOURNAL OF NEUROSCIENCE METHODS (2004)

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BCI2000: A general-purpose, brain-computer interface (BCI) system

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IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2004)

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BCI Control of a Robotic Arm Based on SSVEP With Moving Stimuli for Reach and Grasp Tasks

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