Measuring K-degree facial interaction between robot and children with autism spectrum disorders

2015 24th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN) Pub Date : 2015-08-01 DOI:10.1109/ROMAN.2015.7333683

Yadong Pan, Masakazu Hirokawa, Kenji Suzuki

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引用次数: 10

Abstract

This paper presents the design, implementation, and application of a vision-based automatic system that measures facial interaction based on human's cognitive feature. We investigated the feature of people's facial interaction under natural gaze-movement via an experiment, and created criteria of k-degree facial interaction and face-to-face interaction depending only on facial orientation. These criteria were used to develop the automatic system. The system is vision-based. It could be easily embedded into applications. We focused on an application to understand the behavior of children with autism spectrum disorders (ASD), and tested the use of the automatic system in a robot-assisted activity for those children. The results suggested that the system could help to improve the efficiency of behavior analysis during the children's activities with the robot. The facial interaction measured between the children and the robot can be used by therapists to comprehend the children's psychological aspects and state of health.

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机器人与自闭症谱系障碍儿童k度面部互动测量

本文介绍了一种基于人类认知特征的基于视觉的人脸交互自动测量系统的设计、实现和应用。通过实验研究了自然注视运动下人们的面部互动特征，建立了k度面部互动和仅依赖面部方向的面对面互动标准。这些标准被用于开发自动系统。这个系统是基于视觉的。它可以很容易地嵌入到应用程序中。我们专注于一个应用程序来了解自闭症谱系障碍(ASD)儿童的行为，并测试了自动系统在这些儿童的机器人辅助活动中的使用。结果表明，该系统可以帮助提高儿童与机器人活动时的行为分析效率。儿童和机器人之间的面部互动可以被治疗师用来了解儿童的心理方面和健康状况。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2015 24th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN)

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