Abstract

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.

Highlights

  • Light interference[14], and stimulation targets interfere with each other

  • These results suggest that the SSMVEP paradigm has outstanding characteristics of low mental load and low visual discomfort for brain–computer interfaces (BCIs) applications

  • Since motion-onset visual evoked potential (mVEP) are sensitive to the start of the motion, the SSMVEPs mainly relied on the visual perception of motions oscillating in two opposite directions[24]

Read more

Summary

Introduction

Light interference[14], and stimulation targets interfere with each other. All of these factors restrict the application of SSVEP BCI. The steady-state motion reversals were mildly stimulating, and the typical features of SSMVEPs were in the frequency domain, taking advantage of both mVEPs and SSVEP. They further studied the effects of mental load and fatigue of the flickering stimulation and the Newton’s rings motion stimulation[23]. After a long period of stimulation, the reduction in the response amplitude of motion stimulation was significantly less than the reduction for flashing stimulation These results suggest that the SSMVEP paradigm has outstanding characteristics of low mental load and low visual discomfort for BCI applications.

Objectives
Methods
Results
Conclusion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call