• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Proceedings of the IEEE >Prediction of Distal Arm Posture in 3-D Space From Shoulder Movements for Control of Upper Limb Prostheses
【24h】

Prediction of Distal Arm Posture in 3-D Space From Shoulder Movements for Control of Upper Limb Prostheses

机译：通过控制上肢假肢的肩膀运动预测3-D空间中的远端手臂姿势

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

C5/C6 tetraplegic patients and transhumeral amputees may be able to use voluntary shoulder motion as command signals for a functional electrical stimulation (FES) system or a transhumeral prosthesis. Such prostheses require, at the most basic level, the control of endpoint position in three dimensions, hand orientation, and grasp. Spatiotemporal synergies exist between the proximal and distal arm joints for goal-oriented reaching movements as performed by able-bodied subjects. To fit these synergies, we utilized three-layer artificial neural networks. These networks could be used as a means for obtaining user intent information during reaching movements. We conducted reaching experiments in which subjects reached to and grasped a handle in a three-dimensional gantry. In our previous work, the three rotational angles at the shoulder were used to predict elbow flexion/extension angle during reaches on a two-dimensional plane. In this paper, we extend this model to include the two translational movements at the shoulder as inputs and an additional output of forearm pronation/supination. Counterintuitively, as the complexity of the task and the complexity of the neural network architecture increased, the performance also improved.
机译：C5 / C6四肢瘫痪患者和经肱骨截肢者可能能够使用自愿性肩部运动作为功能性电刺激（FES）系统或经肱骨假体的命令信号。这种假体在最基本的水平上需要在三个维度，手的方向和抓地力上控制终点位置。臂部近端和远端之间存在时空协同作用，以实现由健全主体执行的目标定向的到达运动。为了适应这些协同作用，我们利用了三层人工神经网络。这些网络可以用作在到达运动期间获得用户意图信息的手段。我们进行了到达实验，实验中的受试者伸手抓住并抓住了三维龙门架中的手柄。在我们以前的工作中，使用肩膀处的三个旋转角度来预测在二维平面上到达时的肘部弯曲/伸展角度。在本文中，我们将该模型扩展为包括在肩膀处的两个平移运动作为输入，以及前臂旋前/旋前的附加输出。与直觉相反，随着任务的复杂性和神经网络体系结构的复杂性的增加，性能也得到了提高。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

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