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Identify key grasping-related properties based on cutaneous electrotactile stimulation

机译:基于皮肤电动刺激识别关键掌握相关性质

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It is important to close the control loop by providing tactile feedback to prosthesis users. An increasing number of researchers attempt to improve grasping performance by providing various types of tactile feedbacks. In our study, we improve the performance by a virtual environment in which subjects acquire two key grasping-related properties, including object's stiffness, economically holding power (F) that could stop the objects slipping by a minimum force, using pressure feedback and slipping feedback generated by electrotactile stimulation during they are grasping objects. Results indicate that this method is feasible. The accurate discrimination of two levels' stiffness is 95.4%, and the accurate discrimination of four levels' economically holding power (F) is 78.3%. Furthermore, in order to compare the discriminating performance, we investigate the confused types in discriminating the stiffness and the economically holding power (f).
机译:通过为假肢用户提供触觉反馈来关闭控制回路是重要的。 越来越多的研究人员试图通过提供各种类型的触觉反馈来提高掌握性能。 在我们的研究中,我们通过虚拟环境的性能提高了一个受试者获取两个关键掌握相关的属性的虚拟环境,包括物体的刚度,经济地保持功率(f),其可以使用压力反馈和滑动反馈来阻止物体通过最小力滑动的物体。 在它们期间通过电动刺激产生的物体产生。 结果表明该方法是可行的。 两级刚度的准确辨别为95.4%,四级经济持有权(F)的准确辨别为78.3%。 此外,为了比较鉴别性能,我们研究了识别刚度和经济持有功率(F)的困惑类型。

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