首页> 美国卫生研究院文献>Journal of Biomechanical Engineering >Evaluation of Hand Motion Capture Protocol Using Static Computed Tomography Images: Application to an Instrumented Glove
【2h】

Evaluation of Hand Motion Capture Protocol Using Static Computed Tomography Images: Application to an Instrumented Glove

机译:使用静态计算机断层扫描图像评估手部动作捕获协议:在仪器手套上的应用

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

There has been a marked increase in the use of hand motion capture protocols in the past 20 yr. However, their absolute accuracies and precisions remain unclear. The purpose of this technical brief was to present a method for evaluating the accuracy and precision of the joint angles determined by a hand motion capture protocol using simultaneously collected static computed tomography (CT) images. The method consists of: (i) recording seven functional postures using both the motion capture protocol and a CT scanner; (ii) obtaining principal axes of the bones in each method; (iii) calculating the flexion angle at each joint for each method as the roll angle of the composite, sequential, roll-pitch-yaw rotations relating the orientation of the distal bone to the proximal bone; and (iv) comparing corresponding joint angle measurements. For demonstration, we applied the method to a Cyberglove protocol. Accuracy and precision of the instrumented-glove protocol were calculated as the mean and standard deviation, respectively, of the differences between the angles determined from the Cyberglove output and the CT images across the seven postures. Implementation in one subject highlighted substantial errors, especially for the distal joints of the fingers. This technical note both clearly demonstrates the need for future work and introduces a solid, technical approach with the potential to improve the current state of such assessments in our field.
机译:在过去20年中,手部动作捕捉协议的使用已显着增加。但是,它们的绝对精度和精确度仍然不清楚。本技术简介的目的是提供一种方法,该方法使用同时采集的静态计算机断层扫描(CT)图像评估由手部动作捕获协议确定的关节角度的准确性和精确度。该方法包括:(i)使用运动捕捉协议和CT扫描仪记录七个功能姿势; (ii)以每种方法获得骨头的主轴; (iii)计算每种方法在每个关节处的弯曲角度,作为将远侧骨骼的方向与近侧骨骼的方向相关联的复合,连续,俯仰-偏航旋转的侧倾角; (iv)比较相应的关节角度测量值。为了演示,我们将该方法应用于了Cyber​​glove协议。仪器手套操作规程的准确性和精确度分别计算为通过Cyber​​glove输出和CT图像在七个姿势中确定的角度之间的差的平均值和标准偏差。在一个受试者中的实施突显了重大错误,尤其是对于手指的远端关节。本技术说明清楚地表明了对未来工作的需求,并介绍了一种可靠的技术方法,有可能改善我们领域此类评估的当前状态。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号