• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Annual International Conference of the IEEE Engineering in Medicine and Biology Society >Estimation of mental workload induced by different presentation rates in rapid serial visual presentation tasks
【24h】

Estimation of mental workload induced by different presentation rates in rapid serial visual presentation tasks

机译：快速连续视觉呈现任务中不同呈现率引起的精神工作量估计

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Brain-computer interface (BCI) based on rapid serial visual presentation (RSVP) is an efficient information detection technology by detecting event related brain response evoked by target stimuli. In the protocol design of the RSVP-BCI a range of parameters could influence the task difficulty, which may result in the changes of mental workload for subjects. This paper focused on the presentation rate in the RSVP paradigm aiming to investigate its influence on mental workload, and the separability of brain states during RSVP tasks with different setup of presentation rate. 64-channel Electroencephalographic (EEG) data were recorded during RSVP tasks with three levels of presentation rate in ten healthy subjects. The results show that different presentation rates indeed contribute to significant differences on mental workload revealed by one-way repeated measures analysis of variance (ANOVA) on z-scored RSME. Higher presentation rate results in the significant decrease on both behavioral and single-trial recognition performance of target images. Classification results on three levels of mental workload show that the mean accuracy reaches 65.5% and the highest accuracy reaches 88.3%. This work implies that mental workload induced by different presentation rates during RSVP tasks could be accurately recognized, and provides a possible method to monitor the mental workload in the application areas of RSVP-BCI.
机译：基于快速串行视觉呈现（RSVP）的脑机接口（BCI）是一种有效的信息检测技术，它可以检测目标刺激引起的事件相关的大脑反应。在RSVP-BCI的协议设计中，一系列参数可能会影响任务难度，这可能会导致受试者的工作量发生变化。本文针对RSVP范式中的呈现率进行研究，旨在研究其对精神工作量的影响，以及不同呈现率设置下RSVP任务期间脑部状态的可分离性。在十名健康受试者的RSVP任务中记录了64通道脑电图（EEG）数据，呈现率分为三个水平。结果表明，不同的呈现率确实会导致z评分RSME的单向重复方差分析（ANOVA）揭示出的心理工作量存在显着差异。较高的呈现率会导致目标图像的行为识别和单次尝试识别性能显着下降。在三级心理工作量上的分类结果表明，平均准确率达到65.5％，最高准确率达到88.3％。这项工作意味着在RSVP任务期间由不同呈现速率引起的精神工作量可以被准确识别，并且提供了一种监视RSVP-BCI应用领域中精神工作量的方法。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号