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Active Handrest for Precision Manipulation and Ergonomic Support

机译:用于精密操作和符合人体工程学支持的主动难客

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People use handrests every day to complete dexterous activities as routine as providing a signature. However, the dexterous workspace of the hand is somewhat limited. To address this limit, we have developed an Active Handrest to aid in precision manipulation tasks by extending a user's dexterous work space while providing ergonomic support for reduced fatigue - ideally while maintaining or even improving upon the precision obtained from a fixed handrest. Such a device could be useful for performing precision tasks over large workspaces, such as surgery, machining, or pick-and-place tasks. Our current prototype Active Handrest is a planar, computer controlled support for the user's wrist and arm that allows the user complete control over a grasped tool or manipulation device. The device uses force input from the user's hand, position input from a grasped manipulandum, or a combination of both force and position inputs. The control algorithm of the device then interprets and converts the input(s) into handrest motions. Pilot studies were conducted to optimize the control strategy by investigating the effects of control mode and of velocity limits. Task precision and completion time were used as performance metrics. Pilot testing showed that the device provided the greatest task precision when its velocity was limited to 5 mm/s, while using force input for its control strategy. An experiment was then conducted to compare the Active Handrest to various fixed wrist and arm support conditions, as well as the unsupported condition. Use of the Active Handrest was found to reduce task error by 36.6%, compared to performing the tasks with an unsupported arm, and by 26.0% compared to task completion with a static wrist support. These results are statistically significant (p < 0.0001). While users generally completed experiments more slowly using the Active Handrest, performance with the Active Handrest shows lower sensitivity of task error relative to task completion time. Added experience with our drawing task leads to an increase in accuracy; however, the Active Handrest continues to outperform other hand support conditions (p < 0.0001).
机译:人们每天都在使用秘密,以完成常规的常规活动,以提供签名。然而,手的令人垂涎的工作空间有些有限。为了解决这一限制,我们开发了一个活跃的难民,通过延长用户的灵巧的工作空间来帮助精确的操纵任务,同时提供符合人体工程学的支撑 - 理想情况下,同时保持甚至改善从固定的秘密获得的精度。这样的设备可用于在大型工作区上执行精确任务,例如手术,加工或拾取任务。我们目前的原型活跃的Handrest是一个平面,计算机控制支持,用于用户的手腕和手臂,允许用户完全控制掌握的工具或操纵设备。该设备使用来自用户手中的力输入,从掌握的Manipulandum或力和位置输入的组合输入。然后,设备的控制算法解释并将输入转换为Handrest Motions。通过研究控制模式和速度限制来进行试验研究以优化控制策略。任务精度和完成时间用作性能指标。试验检测显示,当其速度限制为5 mm / s时,该装置提供了最大的任务精度,同时使用力输入进行控制策略。然后进行实验以将活性难客与各种固定手腕和臂支撑条件(以及不受支持的条件)进行比较。与使用不受支持的ARM的任务执行任务相比,查找使用活跃的Handrest将任务误差减少36.6%,与静态手腕支持的任务完成相比,26.0%。这些结果具有统计学意义(P <0.0001)。虽然用户通常使用活跃的Handrest更慢地完成实验,但是具有活动难看的性能相对于任务完成时间显示任务误差的灵敏度较低。使用我们的绘图任务增加了经验,导致准确性提高;然而,活跃的Handrest继续优于其他手支撑条件(P <0.0001)。

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