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Updated: Dec 30, 2025
SSVEP-based Experimental Procedure for Brain-Robot Interaction with Humanoid Robots
Published on: November 24, 2015
A novel hybrid BCI speller based on RSVP and SSVEP paradigm
Shayan Jalilpour1, Sepideh Hajipour Sardouie1, Amirmohammad Mijani1
1Human-Machine Interfaces Laboratory (HMIL), Sharif University of Technology, Tehran, Iran.
Background And Objective:
Steady-state visual evoked potential (SSVEP) and rapid serial visual presentation (RSVP) are useful methods in the brain-computer interface (BCI) systems. Hybrid BCI systems that combine these two approaches can enhance the proficiency of the P300 spellers.
Methods:
In this study, a new hybrid RSVP/SSVEP BCI is proposed to increase the classification accuracy and information transfer rate (ITR) as compared with the other RSVP speller paradigms. In this paradigm, RSVP (eliciting a P300 response) and SSVEP stimulations are presented in such a way that the target group of characters is identified by RSVP stimuli, and the target character is recognized by SSVEP stimuli.
Results:
The proposed paradigm achieved accuracy of 93.06%, and ITR of 23.41 bit/min averaged across six subjects.
Conclusions:
The new hybrid system demonstrates that by using SSVEP stimulation in Triple RSVP speller paradigm, we could enhance the performance of the system as compared with the traditional Triple RSVP paradigm. Our work is the first hybrid paradigm in RSVP spellers that could obtain the higher classification accuracy and information transfer rate in comparison with the previous RSVP spellers.
