Image recognition system based on RSVP paradigm and collaborative brain-computer interface

• 1、School of Electronic Engineering, Beijing University of Posts and Telecommunications,Beijing 100876

Abstract：Brain-Computer Interface (BCI) technology has been widely used as an assistant tool to enhance human abilities. In the application of BCI based on the Rapid Serial Visual Presentation (RSVP) paradigm, users can quickly complete a large number of image classification tasks, providing advantages that computer vision cannot achieve, making it a promising tool in a wide range of applications. In order to promote the practical application of brain-computer interface based image recognition methods, this paper proposes an image recognition system based on the RSVP paradigm and collaborative brain-computer interface, which provides a general data model suitable for image recognition tasks and addresses the problem of insufficient data specification in existing systems. The proposed system has the capability of multi-task concurrent computing and can meet the requirements of large-scale computing in practical scenarios. Additionally, the system adopts a compatible architecture of cooperative BCI, which improves the performance of the BCI and further enhances the practicability of the system. Performance test results show that the proposed system can provide stable concurrent computing services, effectively recognize images, and meet the performance requirements in practical scenarios.

Keywords： brain-computer interface；rapid serial visual presentation(RSVP)；collaborative BCI；image recognition