Scholarlink

Traditional rapid serial visual presentation (RSVP) spellers using brain-computer interface (BCI) technology usually employ a set of 27 alphabetic characters, with at least three control symbols, presented sequentially for user selection. We propose that only a reduced subset of 12 characters/symbols be presented at a time for selection. The characters in this reduced set will be those most likely to follow the user’s previous selections based on a generic corpus. This approach is expected to reduce the time required to select the desired character and, therefore, increase the efficiency of the system compared to traditional RSVP spellers. The system was tested on one healthy subject, who achieved an accuracy of 100% and an average typing speed of 1.9 characters/min. While these results did not meet initial expectations regarding typing times, future modifications are proposed to continue improving the efficiency of these systems.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Optimizing RSVP-BCI Speller Using a 12-Character Predictive Model

  • 会议论文

  • 发表日期：

    2025年

查看全文
  • F. J. Vizcaíno-Martín,
  • Á. Fernández-Rodríguez,
  • F. Velasco-Álvarez,
  • R. Ron-Angevin

摘要

Traditional rapid serial visual presentation (RSVP) spellers using brain-computer interface (BCI) technology usually employ a set of 27 alphabetic characters, with at least three control symbols, presented sequentially for user selection. We propose that only a reduced subset of 12 characters/symbols be presented at a time for selection. The characters in this reduced set will be those most likely to follow the user’s previous selections based on a generic corpus. This approach is expected to reduce the time required to select the desired character and, therefore, increase the efficiency of the system compared to traditional RSVP spellers. The system was tested on one healthy subject, who achieved an accuracy of 100% and an average typing speed of 1.9 characters/min. While these results did not meet initial expectations regarding typing times, future modifications are proposed to continue improving the efficiency of these systems.