• 校内登录

个人信息 更多+
  • 教师姓名: 谢俊
  • 电子邮箱:
  • 所在单位: 机械工程学院
  • 学历: 博士研究生毕业
  • 办公地点: 西安交通大学曲江校区西五楼A209室;
    西安交通大学创新港校区2号巨构3175室。
  • 性别: 男
  • 联系方式:
  • 学位: 博士
  • 职称: 教授
  • 博士生导师: 是
  • 硕士生导师: 是

论文成果

当前位置: 中文主页 - 科学研究 - 论文成果

Highly Interactive Brain–Computer Interface Based on Flicker-Free Steady-State Motion Visual Evoked Potential

发布时间:2025-04-30
点击次数:
发布时间:
2025-04-30
论文名称:
Highly Interactive Brain–Computer Interface Based on Flicker-Free Steady-State Motion Visual Evoked Potential
发表刊物:
Scientific Reports
摘要:
Visual evoked potential-based brain–computer interfaces (BCIs) have been widely investigated because of their easy system configuration and high information transfer rate (ITR). However, the uncomfortable flicker or brightness modulation of existing methods restricts the practical interactivity of BCI applications. In our study, a flicker-free steady-state motion visual evoked potential (FF-SSMVEP)-based BCI was proposed. Ring-shaped motion checkerboard patterns with oscillating expansion and contraction motions were presented by a high-refresh-rate display for visual stimuli, and the brightness of the stimuli was kept constant. Compared with SSVEPs, few harmonic responses were elicited by FF-SSMVEPs, and the frequency energy of SSMVEPs was concentrative. These FF-SSMVEPs evoked “single fundamental peak” responses after signal processing without harmonic and subharmonic peaks. More stimulation frequencies could thus be selected to elicit more responding fundamental peaks without overlap with harmonic peaks. A 40-target online SSMVEP-based BCI system was achieved that provided an ITR up to 1.52 bits per second (91.2 bits/min), and user training was not required to use this system. This study also demonstrated that the FF-SSMVEP-based BCI system has low contrast and low visual fatigue, offering a better alternative to conventional SSVEP-based BCIs.
合写作者:
Chengcheng Han, Guanghua Xu, Jun Xie, Chaoyang Chen and Sicong Zhang
是否译文:
发表时间:
2018-04-11