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A wearable Robot Mask to support rehabilitation of facial paralysis

机译:可穿戴式机器人面罩,支持面瘫康复

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摘要

In previous work, we introduced the Shape Memory Alloy actuator based Robot Mask that can be used to enhance the expressiveness of the face. The basic concept of that design was the pulling of the skin through wires attached to the face and we explained the human anatomy based criteria of selecting these pulling points and directions. In this paper, we describe a case study of using the Robot Mask to assist physiotherapy of a hemifacial paralyzed patient. Earlier we reported the general design criteria of the Robot Mask. However, the significant difference in shape and size of human head among different individuals demands further customization of the Robot Mask. In this research a number of adjustment and customization stages were employed, from the design level to the implementation level and this paper briefly describes them. We also explain a depth image sensor data based analyzing method, which can record dynamics of facial expression in a continuous manner. We then evaluate the effectiveness of the Robot Mask by analyzing the range sensor data. We show that, while providing quick responses, the Robot Mask can also reduce the asymmetry of a smiling face.
机译:在以前的工作中,我们介绍了基于形状记忆合金致动器的机器人面罩,该机器人面罩可用于增强面部表情。该设计的基本概念是通过附着在脸上的金属丝拉动皮肤,我们解释了基于人体解剖学选择拉动点和方向的标准。在本文中,我们描述了使用机器人面罩协助半身瘫痪患者进行理疗的案例研究。之前,我们报道了机器人面罩的一般设计标准。然而,不同个体之间人头的形状和大小的显着差异要求进一步定制机器人面具。在这项研究中,采用了从设计级别到实施级别的许多调整和定制阶段,本文简要介绍了它们。我们还将说明一种基于深度图像传感器数据的分析方法,该方法可以连续记录面部表情的动态。然后,我们通过分析距离传感器数据来评估Robot Mask的有效性。我们证明了,尽管提供快速响应,机器人面具还可以减少笑脸的不对称性。

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