首页> 外文期刊>Human Factors >Detecting Confusion Using Facial Electromyography
【24h】

Detecting Confusion Using Facial Electromyography

机译:使用面部肌电图检测混乱

获取原文
获取原文并翻译 | 示例
       

摘要

Objective: The ability to detect confusion using facial electromyography (EMG) was evaluated.rnBackground: Facial EMG has been useful in detecting various emotional states. Another state potentially detectable from facial musculature is confusion. Confusion reflects a loss of understanding or, in a dynamic environment, a loss of situation understanding or situation awareness.rnMethod: For this study, 24 participants listened to a confusing and a neutral audio passage while they were monitored with EMG. Electrical activity of the right and left corrugator supercilii, the right zygomaticus major, and right depressor anguli oris was recorded. Participants also reported whether they felt confused during the experimental passage. Finally, they were asked to pose facial expressions. Two raters assessed responses in the graphed EMG data for evidence of activation near a confusing sentence in the passage.rnResults: EMG revealed confusion in 21 of 24 (87.5%) participants, even in some participants who did not admit confusion. Posed expressions of confusion differed somewhat from spontaneous expressions elicited during the experimental passage.rnConclusion: EMG was effective in detecting confusion, regardless of operator self-report. Not all muscles in the face were important for the detection of confusion: The zygomaticus major led to a large number of false positives.rnApplication: EMG can be an effective addition to a sensor suite designed to monitor the cognitive state of operators of systems.
机译:目的:评估使用面部肌电图(EMG)识别混乱的能力。背景:面部EMG在检测各种情绪状态方面非常有用。可能从面部肌肉组织检测到的另一种状态是混乱。混乱反映了人们对理解的丧失,或者在动态环境中失去了对情况的理解或对情况的意识。方法:在这项研究中,有24名参与者在接受EMG监测时听取了混乱且中性的声音。记录左,右瓦楞纸板上cil,右go肌和右下压角的电活动。参与者还报告了他们在实验过程中是否感到困惑。最后,他们被要求摆姿势。两名评分者评估了EMG图形数据中的答案,以证明段落中令人困惑的句子附近有激活迹象。结果:EMG显示24名参与者中有21名(87.5%)出现了困惑,甚至在一些不承认困惑的参与者中也是如此。混乱的姿势表达与实验过程中引起的自发表达有所不同。结论:无论操作者的自我报告如何,EMG都能有效地检测混乱。并非面部的所有肌肉对于检测混乱都很重要:The肌导致大量假阳性。应用:EMG可以有效地添加到旨在监测系统操作员认知状态的传感器套件中。

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