Development of Finger-Mounted High-Density Pin-Array Haptic Display
Development of Finger-Mounted High-Density Pin-Array Haptic Display
复制标题
手指安装式高密度针阵列触觉显示器的开发
DOI：
10.1109/access.2020.3015058
复制
发表时间：
2020
期刊：
影响因子：
3.9
通讯作者：
Hirota Koichi
中科院分区：
文献类型：
--
作者：
Ujitoko Yusuke;Taniguchi Takaaki;Sakurai Sho;Hirota Koichi
利用安装在手指上的针阵列触觉显示器来呈现虚拟物体的形状是触觉学研究的主要课题之一。如果能够实现这一点，将提高虚拟空间中对象的可操作性和沉浸感。就目前而言，先前的研究表明，使用这种针阵列显示器的形状识别性能远远低于使用真实的物体在真实的世界中的性能。我们认为，接触点的密度和覆盖面积是必不可少的，以提高识别性能。然而，推动每个引脚的致动器的尺寸是一个约束，并且先前开发的显示器不能具有大的接触密度和覆盖面积。这项研究提出了一种新的设计手指安装针阵列显示器，工作在约束。我们采用气动驱动，因为气动致动器或气缸可以是简单的结构，并且可以以密集阵列布置。我们开发的指戴式显示器比任何其他之前开发的设备具有更高的接触点密度和更大的覆盖面积。它覆盖了超过4倍的面积更大的手指垫与密集的引脚安排。进行了一个实验，以评估与设备的识别性能。受试者仅用触觉信息辨别10种2D图案化字母形状。实验结果显示，被试能以93.8%的准确率识别出10种二维图形。虽然我们的参与者在实验中的任务更困难，但准确性比以前的研究更好。这表明了更高密度和更大尺寸的覆盖的效果。
The presentation of virtual object shapes using a finger-mounted pin-array haptic display is one of the major topics of research in haptics. If this can be realized, the operability of objects and immersive feeling in the virtual space will be improved. For now, previous studies showed that shape recognition performance using such a pin-array display was far inferior from the performance in the real world using a real object. We considered that both the density of contact points and coverage areas are essential to improve the recognition performance. However, the size of the actuator that pushes each pin was a constraint, and the previously developed display could not have a large contact density and coverage area. This study proposes a novel design of a finger-mounted pin-array display that works around the constraint. We adopted a pneumatic drive because the pneumatic actuator, or air cylinder, can be a simple structure and can be arranged in a dense array. Our developed finger-mounted display has a higher contact point density and a larger coverage area than any other previously developed devices. It covered more than 4 times larger area on fingerpad with denser pin arrangements. An experiment to evaluate the recognition performance with the device was conducted. Participants discriminated 10 kinds of 2D patterned alphabet shapes with only haptic information. The result showed participants could recognize the ten kinds of 2D patterned shape with 93.8% accuracy. Though our participants' task in the experiment was more difficult, the accuracy was better than previous studies. It suggests the effect of the higher density and the larger size of the coverage.
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