Exploring the Performance of Facial Expression Recognition Technologies on Deaf Adults and Their Children
Exploring the Performance of Facial Expression Recognition Technologies on Deaf Adults and Their Children
复制标题
探索面部表情识别技术对聋哑成人及其儿童的性能
DOI：
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
I. Shaffer
中科院分区：
文献类型：
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作者：
I. Shaffer
面部和头部动作在美国手语和其他手语中具有重要的语言学作用。如果没有经过适当的训练，人类观察者和现有的情感识别工具都会误解ASL语言的面部表情。在这项研究中，我们拍摄了15名参与者的2,000多张照片：5名听力正常者，5名聋人和5名聋人儿童（CODAs）。然后，我们分析了这些照片上的六个商业面部表情识别服务的性能。主要观察结果包括聋人参与者的面部检测率较差，聋人和CODA参与者的情感识别更准确，以及经常将ASL语言标记误解为负面情绪。这表明有必要将ASL用户的数据纳入这些技术的训练集。
Facial and head movements have important linguistic roles in American Sign Language (ASL) and other sign languages. Without being properly trained, both human observers and existing emotion recognition tools will misinterpret ASL linguistic facial expressions. In this study, we capture over 2,000 photographs of 15 participants: five hearing, five Deaf, and five Children of Deaf Adults (CODAs). We then analyze the performance of six commercial facial expression recognition services on these photographs. Key observations include poor face detection rates for Deaf participants, more accurate emotion recognition for Deaf and CODA participants, and frequent misinterpretation of ASL linguistic markers as negative emotions. This suggests a need to include data from ASL users in the training sets for these technologies.
DOI：
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发表时间：
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影响因子：
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作者：
K. Emmorey;S. McCullough
通讯作者：
K. Emmorey;S. McCullough