首页> 外文会议>ASME/ISCIE international symposium on flexible automation 2012 >MRI-COMPATIBLE GRASPING FORCE SENSOR WITH AN INCLINED DOUBLE PARALLEL STRUCTURE USING FIBER OPTICS
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MRI-COMPATIBLE GRASPING FORCE SENSOR WITH AN INCLINED DOUBLE PARALLEL STRUCTURE USING FIBER OPTICS

机译:带有光纤的具有倾斜双平行结构的MRI兼容抓力传感器

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摘要

Investigations of human motor control using functional magnetic resonance imaging (fMRI) are increasingly receiving attention, with applications in fields such as motor learning and rehabilitation. In these neuroscience studies, force and position sensors are used to control haptic devices and safely interact with the human motion in an MR environment. However, conventional force sensors such as strain gauges are known to cause electromagnetic interference originating from electrical cables, transducers, and electronics. Light transmission through optical fibers is one alternative that avoids these problems. Since optical fibers do not produce electromagnetic noise, they can be used in an MR environment without electromagnetic interference. In this paper, we propose a novel design of an MRI-compatible grasping force sensor based on these principles. The sensor structure was designed to fit into an MRI scanner with its inclined double parallel mechanism, and was specifically adapted to precision grip tasks. This paper presents the sensor design and preliminary characterization in a non-MR environment.
机译:使用功能磁共振成像(fMRI)对人体运动控制的研究越来越受到关注,并应用于运动学习和康复等领域。在这些神经科学研究中,力和位置传感器用于控制触觉设备,并在MR环境中与人体运动安全交互。但是,已知传统的力传感器(例如应变仪)会引起源自电缆,传感器和电子设备的电磁干扰。通过光纤的光传输是避免这些问题的一种选择。由于光纤不会产生电磁噪声,因此可以在MR环境中使用它们而不会产生电磁干扰。在本文中,我们基于这些原理提出了一种与MRI兼容的抓取力传感器的新颖设计。该传感器结构经过设计,可通过其倾斜的双平行机构安装到MRI扫描仪中,并特别适合于精确的抓握任务。本文介绍了在非MR环境中的传感器设计和初步表征。

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  • 会议地点 St. Louis MO(US)
  • 作者单位

    Department of Computer Science and Engineering Graduate School of Engineering Nagoya Institute of Technology Gokisocho, Showa-ku, Nagoya 466-8555, Japan;

    Department of Computer Science and Engineering Graduate School of Engineering Nagoya Institute of Technology Gokisocho, Showa-ku, Nagoya 466-8555, Japan;

    Department of Computer Science and Engineering Graduate School of Engineering Nagoya Institute of Technology Gokisocho, Showa-ku, Nagoya 466-8555, Japan;

    Rehabilitation Engineering Laboratory Institute of Robotics and Intelligent Systems ETH Zurich LEO B 9.1, Leonhardstrasse 27, 8092 Zurich, Switzerland;

    Rehabilitation Engineering Laboratory Institute of Robotics and Intelligent Systems ETH Zurich LEO B 9.1, Leonhardstrasse 27, 8092 Zurich, Switzerland;

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