A novel command generation method for SSVEP-based BCI by introducing SSVEP blocking response.

Area of Science:

• Neuroscience
• Biomedical Engineering
• Human-Computer Interaction

Background:

• Steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs) commonly increase commands by adding more visual stimuli.
• This approach faces limitations in practical applications due to the need for numerous distinct stimuli.

Purpose of the Study:

• To propose a novel BCI paradigm that increases the number of commands using limited visual stimuli.
• To leverage SSVEP blocking responses, which users can voluntarily control, to expand command capabilities.
• To introduce methods for identifying SSVEP blocking responses and calculating their duration.

Main Methods:

• A new BCI paradigm integrating SSVEP and SSVEP blocking responses.
• Development of frequency-specific and unified threshold methods for SSVEP blocking response identification.
• Utilizing filter bank canonical correlation analysis for frequency detection.
• Experimental validation of the proposed methods across different blocking durations and frequencies.

Main Results:

• The proposed threshold methods effectively identify SSVEP blocking responses.
• The paradigm successfully increases the number of BCI commands by a factor of N_f×N_t, where N_f is the number of stimulation frequencies and N_t is the number of controllable blocking durations.
• Demonstrated effectiveness with varying blocking durations and stimulation frequencies.

Conclusions:

• The novel BCI paradigm based on SSVEP and SSVEP blocking responses is effective for increasing command numbers.
• This approach significantly enhances the potential for practical BCI applications by reducing the reliance on numerous visual stimuli.