通过面部和表情识别技术为盲人/视障对象增加非语言交流的可及性

D. Astler, Harrison Chau, Kailin Hsu, A. Hua, A. Kannan, Lydia Lei, Melissa Nathanson, Esmaeel Paryavi, Michelle Rosen, Hayato Unno, Carol Wang, Khadija Zaidi, Xuemin Zhang, Cha-Min Tang
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引用次数: 31

摘要

两个人之间的对话需要言语对话;然而,大多数人类交流都是由非语言提示组成的,比如手势和面部表情。盲人的互动能力因此受到阻碍。为了解决这个问题,我们正在构建一个具有面部识别和表情算法的计算机视觉系统,以将非语言信息传递给盲人用户。该设备将实时交流交流伙伴的身份和面部表情。为了确保这个设备对盲人社区有用,我们进行了调查和采访,我们正在与受试者一起测试设备的原型。本文描述了该装置的算法和设计概念,并对早期的调查和访谈结果进行了评论。在本次会议上展出了相应的带有演示剧照的海报。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Increased accessibility to nonverbal communication through facial and expression recognition technologies for blind/visually impaired subjects
Conversation between two individuals requires verbal dialogue; the majority of human communication however consists of non-verbal cues such as gestures and facial expressions. Blind individuals are thus hindered in their interaction capabilities. To address this, we are building a computer vision system with facial recognition and expression algorithms to relay nonverbal messages to a blind user. The device will communicate the identities and facial expressions of communication partners in realtime. In order to ensure that this device will be useful to the blind community, we conducted surveys and interviews and we are working with subjects to test prototypes of the device. This paper describes the algorithms and design concepts incorporated in this device, and it provides a commentary on early survey and interview results. A corresponding poster with demonstration stills is exhibited at this conference.
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