직교형 손가락 재활로봇기구를 위한 힘센서 개발 및 특성실험
Development of Force Sensors for Rectangular-Type Finger-Rehabilitation Robot Instruments and Their Characteristic Test
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Stroke patients must do the rehabilitation exercise to recover their fingers’ function using a rehabilitation robot. But the rehabilitation robots mostly have not the force sensors to control the applied force to each finger. Thus, in this paper, the development of a force sensor for thumb rehabilitation robot and four two-axis force sensors for four-finger rehabilitation robot were developed. The force sensor and four two-axis force sensors could be used to measure the applied force to each finger, and the forces could be used to control the applied forces to each sensor in rehabilitation exercise using in the rehabilitation robot. The developed sensors have non-linearlity error of less than 0.05 %, repeatability error of less than 0.03 %, and the interference error of two-axis force sensor is less than 0.2 %.
Abstract
Stroke patients must do the rehabilitation exercise to recover their fingers’ function using a rehabilitation robot. But the rehabilitation robots mostly have not the force sensors to control the applied force to each finger. Thus, in this paper, the development of a force sensor for thumb rehabilitation robot and four two-axis force sensors for four-finger rehabilitation robot were developed. The force sensor and four two-axis force sensors could be used to measure the applied force to each finger, and the forces could be used to control the applied forces to each sensor in rehabilitation exercise using in the rehabilitation robot. The developed sensors have non-linearlity error of less than 0.05 %, repeatability error of less than 0.03 %, and the interference error of two-axis force sensor is less than 0.2 %.
참고문헌 (12)
- E.B. Brokaw, "Hand spring operated movement enhancer(HandSOME) device for hand rehabilitation after stroke", Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE, pp.5867~5870 (2010)
- Y. Ren, "Developing a whole-arm exoskeleton robot with hand opening and closing mechanism for upper limb stroke rehabilitation", Rehabilitation Robotics, 2009. ICORR 2009. IEEE International Conference, pp.761~765 (2009)
- L. Connelly, "A pneumatic glove and immersive virtual reality environment for hand rehabilitative training after stroke", Neural Systems and Rehabilitation Engineering, IEEE Transactions on, 18(5), pp.551~559 (2010)
- M. Bouzit, "The rutgers master II - New design force-feedback glove", IEEE, 2002, pp.7(2), ~
- J.H. Kim, "Design and analysis of a column type multicomponent force", moment sensor, 2003, pp.33, 213~219
- K. Nagai, "Development of a small six-component force", torque sensor based on the double-cross structure, 2004, pp.22(3), 361~369
- 김갑순, "3축 손가락 힘센서를 가진 지능로봇의 지능형 로봇손 개발", 제어.로봇.시스템학회 논문지, 15(3), pp.300~305 (2009), 제어·로봇·시스템학회
- 김현민, "단축 힘센서를 이용한 두 손가락 잡기 힘측정장치 개발 및 특성평가", 센서학회지, 20(3), pp.172~177 (2011), 한국센서학회
- 김현민, "3축 힘센서를 이용한 구물체 잡기 손가락 힘측정시스템 개발", 센서학회지, 19(3), pp.238~245 (2010), 한국센서학회
- torque sensor, "Multi-axis forcre", pp.2005, ATI Industrial Automation
- torque sensor(BL-FTS-E020), "BL sensor, multi-axis force", pp.2003, Bl Autotec
- 김갑순, "다축 힘", 모멘트 센서 교정기의 개발 및 그의 불확도 평가, 2007, pp.24(10), 91~98[DOI]