[The supernumerary robotic limbs of brain-computer interface based on asynchronous steady-state visual evoked potential]

Ping Xie ^1,2, Yandi Men ^1,2, Jiale Zhen ^1,2

⁰College of Electrical Engineering, Yanshan University, Qinhuangdao, Hebei 066000, P. R. China.

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering = Shengwu Yixue Gongchengxue Zazhi +

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September 1, 2024

View abstract on PubMed

Summary

This study introduces an advanced brain-computer interface (BCI) for intelligent robotics. The new method improves asynchronous state recognition in steady-state visual evoked potential (SSVEP) BCIs, enabling more autonomous control.

Area Of Science

Neuroscience
Robotics
Human-Computer Interaction

Context

Steady-state visual evoked potential (SSVEP) based brain-computer interfaces (BCIs) are crucial for intelligent robotics.
Existing SSVEP-BCI systems often lack autonomous control due to reliance on synchronized triggers and inability to distinguish user control states.

Purpose

To develop an accurate asynchronous state recognition method for SSVEP-BCI systems.
To create a brain-machine fusion system for cooperative control in multitasking scenarios, particularly for individuals with disabilities.

Summary

A novel SSVEP asynchronous state recognition method is proposed, fusing time-frequency domain electroencephalographic (EEG) features with linear discriminant analysis (LDA).
A brain-machine fusion system was developed for collaborative control of a wearable manipulator and robotic arm, functioning as a 'third hand'.
Experimental results demonstrated high accuracy (93.0%) in user intent recognition for multitasking cooperative operations using the proposed asynchronous SSVEP-BCI control algorithm.

Impact

Provides a theoretical and practical foundation for the real-world application of asynchronous SSVEP-BCI systems.
Enhances the control capabilities of intelligent robots and assistive devices, especially in complex environments.
Offers significant advantages for disabled individuals by enabling collaborative control for multitasking operations.

Keywords:

Asynchronous brain-computer interface Augmented reality Steady-state visual evoked potential Supernumerary robotic limb