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Updated: Feb 18, 2026

P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation
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P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation

Published on: September 8, 2023

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聊天BCI,一个P300拼写BCI,具有基于上下文的词预测,利用大型语言模型,从概念到评估

Jiazhen Hong1, Weinan Wang1, Laleh Najafizadeh2

  • 1Integrated Systems and NeuroImaging Laboratory, Department of Electrical and Computer Engineering, Rutgers University, Piscataway, NJ, 08854, USA.

Scientific reports
|February 16, 2026
PubMed
概括

通过使用大型语言模型 (LLM) 来预测单词,ChatBCI 增强了脑-计算机接口 (BCI),显著减少了按键和句子组合的时间. 这种新的方法提高了沟通和运动障碍的用户的效率.

关键词:
辅助技术 辅助技术 辅助技术大脑计算机接口 (BCI)聊天GPT 聊天 在GPT 聊天电脑电图 (EEG) 是一种电脑电图.节省键盘键盘的时间大型语言模型 (LLM)P300 拼写器 拼写器预测词语的预测

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