A soft, synergy-based robotic glove for grasping assistance.

IF 3.4 Q2 ENGINEERING, BIOMEDICAL
Wearable technologies Pub Date : 2021-04-20 eCollection Date: 2021-01-01 DOI:10.1017/wtc.2021.3
Ryan Alicea, Michele Xiloyannis, Domenico Chiaradia, Michele Barsotti, Antonio Frisoli, Lorenzo Masia
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引用次数: 0

Abstract

This paper presents a soft, tendon-driven, robotic glove designed to augment grasp capability and provide rehabilitation assistance for postspinal cord injury patients. The basis of the design is an underactuation approach utilizing postural synergies of the hand to support a large variety of grasps with a single actuator. The glove is lightweight, easy to don, and generates sufficient hand closing force to assist with activities of daily living. Device efficiency was examined through a characterization of the power transmission elements, and output force production was observed to be linear in both cylindrical and pinch grasp configurations. We further show that, as a result of the synergy-inspired actuation strategy, the glove only slightly alters the distribution of forces across the fingers, compared to a natural, unassisted grasping pattern. Finally, a preliminary case study was conducted using a participant suffering from an incomplete spinal cord injury (C7). It was found that through the use of the glove, the participant was able to achieve a 50% performance improvement (from four to six blocks) in a standard Box and Block test.

一种柔软的,基于协同的机器人手套,用于抓取辅助
摘要本文介绍了一种柔软的肌腱驱动机器人手套,旨在增强抓握能力,并为脊髓后损伤患者提供康复帮助。该设计的基础是一种欠驱动方法,利用手的姿势协同作用,用单个致动器支撑各种抓握。该手套重量轻,易于佩戴,并能产生足够的闭手力,有助于日常生活活动。通过对动力传递元件的表征来检查装置的效率,并观察到在圆柱形和夹持配置中产生的输出力是线性的。我们进一步表明,由于协同激励的驱动策略,与自然的、无辅助的抓握模式相比,手套只会略微改变手指上的力分布。最后,对一名患有不完全性脊髓损伤(C7)的参与者进行了初步案例研究。研究发现,通过使用手套,参与者能够在标准的方框和方框测试中实现50%的性能改进(从四个方框到六个方框)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
5.80
自引率
0.00%
发文量
0
审稿时长
11 weeks
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