Analysis of social smile sharing using a wearable device that captures distal electromyographic signals
Analysis of social smile sharing using a wearable device that captures distal electromyographic signals
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使用捕获远端肌电信号的可穿戴设备分析社交微笑共享
DOI：
10.1109/est.2012.38
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发表时间：
2012
期刊：
影响因子：
--
通讯作者：
K.
中科院分区：
文献类型：
--
作者：
Gruebler;A.;Suzuki;K.
在这项工作中，我们提出了一种新的方法来分析人类的面部表情在社交场合。我们能够使用无线可穿戴设备同时记录多个受试者的微笑表情，该设备记录生理信号并允许受试者在头部位置和环境中完全自由移动。我们分析了两种情况下的面部表情的相关性，在两个成年人之间的谈话和两个孩子之间玩。这项工作显示了一种有效的和自动的方法来定量和连续地分析面部表情，而不受约束的主题。可能的应用在于对人类的心理分析，改善客户服务，表达训练和社交互动分析，以及创建一个可以在未来用于微调人类与人工代理（如社交化身和机器人）互动的互动基线。
In this work we present a new way to analyze human facial expressions in social situations. We are able to record the smiling expressions of multiple subjects simultaneously using a wireless wearable device that records physiological signals and allows the subjects complete freedom of movement, both of head position and in their environment. We analize the correlation of facial expressions in two situations, in a conversation between two adults and between two children playing. This work shows an effective and automatic way to analize facial expressions quantitatively and continuously, without constraining the subjects. Possible applications lie in psychological analysis of humans, improvement of customer service, expression training and analysis of social interaction as well as to create a baseline of interaction that can be used in the future to fine-tune human interaction with artificial agents such as social avatars and robots.