Ben-Tzvi Pinhas, Ma Zhou
IEEE Trans Neural Syst Rehabil Eng. 2015 Nov;23(6):992-1002. doi: 10.1109/TNSRE.2014.2378171. Epub 2014 Dec 4.
This paper presents the design, implementation and experimental validation of a novel robotic haptic exoskeleton device to measure the user's hand motion and assist hand motion while remaining portable and lightweight. The device consists of a five-finger mechanism actuated with miniature DC motors through antagonistically routed cables at each finger, which act as both active and passive force actuators. The SAFE Glove is a wireless and self-contained mechatronic system that mounts over the dorsum of a bare hand and provides haptic force feedback to each finger. The glove is adaptable to a wide variety of finger sizes without constraining the range of motion. This makes it possible to accurately and comfortably track the complex motion of the finger and thumb joints associated with common movements of hand functions, including grip and release patterns. The glove can be wirelessly linked to a computer for displaying and recording the hand status through 3D Graphical User Interface (GUI) in real-time. The experimental results demonstrate that the SAFE Glove is capable of reliably modeling hand kinematics, measuring finger motion and assisting hand grasping motion. Simulation and experimental results show the potential of the proposed system in rehabilitation therapy and virtual reality applications.
本文介绍了一种新型机器人触觉外骨骼设备的设计、实现及实验验证。该设备可测量用户手部运动并辅助手部运动,同时保持便携和轻便。该设备由一个五指机构组成,每个手指通过反向布线的电缆由微型直流电机驱动,这些电缆同时充当主动和被动力执行器。SAFE手套是一个无线且自成一体的机电系统,安装在裸手的手背上,为每个手指提供触觉力反馈。该手套可适应各种手指尺寸,而不会限制运动范围。这使得能够准确且舒适地跟踪与手部功能常见动作(包括抓握和松开模式)相关的手指和拇指关节的复杂运动。该手套可无线连接到计算机,以便通过3D图形用户界面(GUI)实时显示和记录手部状态。实验结果表明,SAFE手套能够可靠地对手部运动学进行建模、测量手指运动并辅助手部抓握运动。仿真和实验结果显示了所提出系统在康复治疗和虚拟现实应用中的潜力。