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Published on: August 25, 2020
A Decade of Rapid Serial Visual Presentation Paradigm in Brain-Computer Interface for Target Detection: Current
Objective:
Electroencephalography (EEG)-based Rapid Serial Visual Presentation (RSVP) has steadily gained attention since 2015 as a paradigm to enhance image target detection in brain-computer interfaces (BCIs) used with healthy individuals.
Methods:
We reviewed the literature using Scopus and Web of Science as primary databases, covering publications from 2015 to 2024. After literature screening and filtering, a total of 86 papers on RSVP-BCI studies were analyzed over this decade-long period. The research categorizes RSVP into three dimensions: public datasets, paradigm encoding, and decoding methods, while exploring eight mode combinations involving target types, subject groups, and different modalities.
Results:
Our literature search revealed a scarcity of studies addressing diverse target types across different subject groups or modality combinations, indicating a promising direction for future RSVP-BCI development. Future efforts should prioritize inclusivity across all age groups, the design of user-friendly stimulus interfaces, and the development of advanced algorithms, with the goal of creating a more widely accessible RSVP-BCI system.
Conclusion:
We have provided a comprehensive review of advances over the past decade in RSVP-based target detection, including datasets, encoding design, decoding methods and potential applications.
Significance:
The present work aims to articulate prospective trajectories for the continued advancement of the RSVP community.
