...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of vision >Laying the foundations for an in-depth investigation of the whole space of facial expressions
【24h】

Laying the foundations for an in-depth investigation of the whole space of facial expressions

机译：奠定深入研究面部表情整个空间的基础

获取原文
   

获取外文期刊封面封底 >>

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

摘要

Facial expressions form one of the most important and powerful communication systems of human social interaction. They express a large range of emotions but also convey more general, communicative signals. To date, research has mostly focused on the static, emotional aspect of facial expression processing, using only a limited set of a??generica?? or a??universala?? expression photographs, such as a happy or sad face. That facial expressions carry communicative aspects beyond emotion and that they transport meaning in the temporal domain, however, has so far been largely neglected. In order to enable a deeper understanding of facial expression processing with a focus on both emotional and communicative aspects of facial expressions in a dynamic context, it is essential to first construct a database that contains such material using a well-controlled setup. We here present the novel MPI facial expression database, which contains 20 native German participants performing 58 expressions based on pre-defined context scenarios, making it the most extensive database of its kind to date. Three experiments were performed to investigate the validity of the scenarios and the recognizability of the expressions. In Experiment 1, 10 participants were asked to freely name the facial expressions that would be elicited given the scenarios. The scenarios were effective: 82% of the answers matched the intended expressions. In Experiment 2, 10 participants had to identify 55 expression videos of 10 actors. We found that 34 expressions could be identified reliably without any context. Finally, in Experiment 3, 20 participants had to group the 55 expression videos of 10 actors based on similarity. Out of the 55 expressions, 45 formed consistent groups, which highlights the impressive variety of conversational expressions categories we use. Interestingly, none of the experiments found any advantage for the universal expressions, demonstrating the robustness with which we interpret conversational facial expressions.
机译：面部表情构成了人类社会互动中最重要，功能最强大的交流系统之一。他们表达了广泛的情感，但也传达了更一般的交流信号。迄今为止，研究主要集中在面部表情处理的静态，情感方面，仅使用有限的一组“ generica”。还是“大学”？表达照片，例如高兴或悲伤的脸。迄今为止，面部表情在情感方面具有交流方面的意义，而它们在时域中传达着意义，但迄今为止，在很大程度上已经被忽略了。为了能够更深入地了解面部表情处理，并着重于动态环境中面部表情的情感和交流方面，必须首先使用一个控制良好的设置构建一个包含此类材料的数据库。我们在这里展示了新颖的MPI面部表情数据库，该数据库包含20位德国原住民参与者，它们基于预定义的情境场景执行58种表情，使其成为迄今为止此类数据库中最广泛的数据库。进行了三个实验，以调查方案的有效性和表达式的可识别性。在实验1中，要求10位参与者自由命名在给定情况下会引起的面部表情。场景是有效的：82％的答案与预期的表达方式匹配。在实验2中，有10位参与者必须识别10位演员的55个表达视频。我们发现，无需任何上下文即可可靠地识别出34个表达式。最后，在实验3中，有20位参与者必须根据相似度将10位演员的55个表达视频分组。在55个表达方式中，有45个形成了一致的组，突出了我们使用的令人印象深刻的各种对话表达方式。有趣的是，没有一个实验发现通用表情有任何优势，证明了我们解释对话式面部表情的鲁棒性。

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