Motion-based Rapid Serial Visual Presentation for Gaze-Independent Brain-Computer Interfaces

Dong Ok Won, Han Jeong Hwang, Dong Min Kim, Klaus Muller, Seong Whan Lee

Research output: Contribution to journalArticle

18 Citations (Scopus)


Most event-related potential (ERP)-based braincomputer interface (BCI) spellers primarily use matrix layouts, and generally require moderate eye movement for successful operation. The fundamental objective of this study is to enhance the perceptibility of target characters by introducing motion stimuli to classical rapid serial visual presentation (RSVP) spellers that do not require any eye movement, thereby applying them to paralyzed patients with oculomotor dysfunctions. To test the feasibility of the proposed motion-based RSVP paradigm, we implemented three RSVP spellers: i) fixed-direction motion (FM-RSVP), ii) random-direction motion (RM-RSVP), and iii) (the conventional) non-motion stimulation (NM-RSVP), and evaluated the effect of the three different stimulation methods on spelling performance. The two motion-based stimulation methods, FM- and RM-RSVP, showed shorter P300 latency and higher P300 amplitudes (i. e., 360.4-379.6 ms; 5.5867-5.7662 mV) than the NM-RSVP (i. e., 480.4 ms; 4.7426 mV). This led to higher and more stable performances for FM- and RMRSVP spellers than NM-RSVP speller (i. e., 79.06±6.45% for NM-RSVP, 90.60±2.98% for RM-RSVP, and 92.74±2.55% for FM-RSVP). In particular, the proposed motion-based RSVP paradigm was significantly beneficial for about half of the subjects who might not accurately perceive rapidly presented static stimuli. These results indicate that the use of proposed motion-based RSVP paradigm is more beneficial for target recognition when developing BCI applications for severely paralyzed patients with complex ocular dysfunctions.

Original languageEnglish
JournalIEEE Transactions on Neural Systems and Rehabilitation Engineering
Publication statusAccepted/In press - 2017 Aug 11


  • Brain-Computer Interface (BCI)
  • Character recognition
  • Color
  • Electroencephalography
  • Event-Related Potential (ERP)
  • Gazeindependent
  • Rapid Serial Visual Presentation (RSVP)
  • Shape
  • Target recognition
  • Training
  • Visualization

ASJC Scopus subject areas

  • Neuroscience(all)
  • Biomedical Engineering
  • Computer Science Applications

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