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

被引:3
作者
Duan, Junyi [1 ]
Li, Songwei [1 ]
Ling, Li [2 ]
Zhang, Ning [3 ]
Meng, Jianjun [1 ]
机构
[1] Shanghai Jiao Tong Univ, Dept Mech Engn, Shanghai, Peoples R China
[2] Shanghai Electromech Engn Inst, Shanghai, Peoples R China
[3] Natl Res Ctr Rehabil Tech Aids, Beijing, Peoples R China
来源
FRONTIERS IN HUMAN NEUROSCIENCE | 2022年 / 16卷
基金
中国国家自然科学基金;
关键词
steady-state visual evoked potential; brain-computer interface; head movements; virtual reality; gaze fixation switch; BRAIN-COMPUTER-INTERFACE; CANONICAL CORRELATION-ANALYSIS; VIRTUAL-REALITY; SSVEP; COMMUNICATION; COMBINATION; SYSTEM;
D O I
10.3389/fnhum.2022.943070
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
In a realistic steady-state visual evoked potential (SSVEP) based brain-computer interface (BCI) application like driving a car or controlling a quadrotor, observing the surrounding environment while simultaneously gazing at the stimulus is necessary. This kind of application inevitably could cause head movements and variation of the accompanying gaze fixation point, which might affect the SSVEP and BCI's performance. However, few papers studied the effects of head movements and gaze fixation switch on SSVEP response, and the corresponding BCI performance. This study aimed to explore these effects by designing a new ball tracking paradigm in a virtual reality (VR) environment with two different moving tasks, i.e., the following and free moving tasks, and three moving patterns, pitch, yaw, and static. Sixteen subjects were recruited to conduct a BCI VR experiment. The offline data analysis showed that head moving patterns [F(2, 30) = 9.369, p = 0.001, effect size = 0.384] resulted in significantly different BCI decoding performance but the moving tasks had no effect on the results [F(1, 15) = 3.484, p = 0.082, effect size = 0.188]. Besides, the canonical correlation analysis (CCA) and filter bank canonical correlation analysis (FBCCA) accuracy were better than the PSDA and MEC methods in all of the conditions. These results implied that head movement could significantly affect the SSVEP performance but it was possible to switch gaze fixation to interact with the surroundings in a realistic BCI application.
引用
收藏
页数:15
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共 39 条
  • [1] Brain-Computer Interface for Neurorehabilitation of Upper Limb After Stroke
    Ang, Kai Keng
    Guan, Cuntai
    [J]. PROCEEDINGS OF THE IEEE, 2015, 103 (06) : 944 - 953
  • [2] Sublime: a Hands-Free Virtual Reality Menu Navigation System Using a High-Frequency SSVEP-based Brain-Computer Interface
    Armengol-Urpi, Alexandre
    Sarma, Sanjay E.
    [J]. 24TH ACM SYMPOSIUM ON VIRTUAL REALITY SOFTWARE AND TECHNOLOGY (VRST 2018), 2018,
  • [3] An online multi-channel SSVEP-based brain-computer interface using a canonical correlation analysis method
    Bin, Guangyu
    Gao, Xiaorong
    Yan, Zheng
    Hong, Bo
    Gao, Shangkai
    [J]. JOURNAL OF NEURAL ENGINEERING, 2009, 6 (04)
  • [4] Enhancing Communication for People in Late-Stage ALS Using an fNIRS-Based BCI System
    Borgheai, Seyyed Bahram
    McLinden, John
    Zisk, Alyssa Hillary
    Hosni, Sarah Ismail
    Deligani, Roohollah Jafari
    Abtahi, Mohammadreza
    Mankodiya, Kunal
    Shahriari, Yalda
    [J]. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2020, 28 (05) : 1198 - 1207
  • [5] Combination of Augmented Reality Based Brain- Computer Interface and Computer Vision for High-Level Control of a Robotic Arm
    Chen, Xiaogang
    Huang, Xiaoshan
    Wang, Yijun
    Gao, Xiaorong
    [J]. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2020, 28 (12) : 3140 - 3147
  • [6] High-speed spelling with a noninvasive brain-computer interface
    Chen, Xiaogang
    Wang, Yijun
    Nakanishi, Masaki
    Gao, Xiaorong
    Jung, Tzyy-Ping
    Gao, Shangkai
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2015, 112 (44) : E6058 - E6067
  • [7] Filter bank canonical correlation analysis for implementing a high-speed SSVEP-based brain-computer interface
    Chen, Xiaogang
    Wang, Yijun
    Gao, Shangkai
    Jung, Tzyy-Ping
    Gao, Xiaorong
    [J]. JOURNAL OF NEURAL ENGINEERING, 2015, 12 (04)
  • [8] Design and implementation of a brain-computer interface with high transfer rates
    Cheng, M
    Gao, XR
    Gao, SG
    Xu, DF
    [J]. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2002, 49 (10) : 1181 - 1186
  • [9] Non-invasive brain-computer interface system: Towards its application as assistive technology
    Cincotti, Febo
    Mattia, Donatella
    Aloise, Fabio
    Bufalari, Simona
    Schalk, Gerwin
    Oriolo, Giuseppe
    Cherubini, Andrea
    Marciani, Maria Grazia
    Babiloni, Fabio
    [J]. BRAIN RESEARCH BULLETIN, 2008, 75 (06) : 796 - 803
  • [10] Brain-Computer Interface Control in a Virtual Reality Environment and Applications for the Internet of Things
    Coogan, Christopher G.
    He, Bin
    [J]. IEEE ACCESS, 2018, 6 : 10840 - 10849