A low cost 3-DOF force sensing unit design for wrist rehabilitation robots

Abstract In this study, a low cost and modular three degree-of-freedom force sensor design is developed for the purposes of wrist rehabilitation. The proposed sensor in this study and the existing sensors in the literature are compared to each other considering nine main topics namely, measurement capability, design purpose, measurement approach, force limits, dimensions, producing & assembly complexity, producing cost, modularity and electronics. The comparison results are given as a table. Considering the sensors developed especially for the purpose of wrist rehabilitation in the literature, the proposed sensor has some advantages as follows: The proposed sensor has i) modular structure, ii) less producing & assembly complexity, iii) low cost and iv) integrated electronic and mechanical structures. A specific experimental setup is also developed for both performing force measurements and control of flexion/extension movements. Linearity, hysteresis and repeatability errors of proposed multi-axis force sensor unit are given as table. A set of force measurements is carried out using this experimental setup. Measurements are illustrated as figures. It can be concluded that the proposed force sensor can be used for human-robot interaction in wrist rehabilitation.

[1]  Arno H. A. Stienen,et al.  Admittance control for physical human–robot interaction , 2018, Int. J. Robotics Res..

[2]  Guanghua Xu,et al.  A review: Motor rehabilitation after stroke with control based on human intent , 2018, Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine.

[3]  Carlos Balaguer,et al.  Robotics in Health Care: Perspectives of Robot-Aided Interventions in Clinical Practice for Rehabilitation of Upper Limbs , 2019, Applied Sciences.

[4]  Farshid Amirabdollahian,et al.  Training modalities in robot-mediated upper limb rehabilitation in stroke: a framework for classification based on a systematic review , 2014, Journal of NeuroEngineering and Rehabilitation.

[5]  Ganwen Zeng,et al.  An overview of robot force control , 1997, Robotica.

[6]  C. Vecchione,et al.  The Impact of Aging on Cardio and Cerebrovascular Diseases , 2018, International journal of molecular sciences.

[7]  K. Kiguchi,et al.  Development of an exoskeleton robot for human wrist and forearm motion assist , 2007, 2007 International Conference on Industrial and Information Systems.

[8]  Jungwon Yoon,et al.  Development of a six-axis force/moment sensor for a spherical-type finger force measuring system , 2012 .

[9]  Honghai Liu,et al.  A Three-Dimensional Fiber Bragg Grating Force Sensor for Robot , 2018, IEEE Sensors Journal.

[10]  A. Geurts,et al.  Definition dependent properties of the cortical silent period in upper-extremity muscles, a methodological study , 2014, Journal of NeuroEngineering and Rehabilitation.

[11]  Yongsheng Zhao,et al.  Optimal design and experiment research of a fully pre-stressed six-axis force/torque sensor , 2013 .

[12]  Andrew McDaid,et al.  Development of Wearable Wrist and Forearm Exoskeleton with Shape Memory Alloy Actuators , 2017, J. Intell. Robotic Syst..

[13]  Erhan Akdogan,et al.  Development of a therapeutic exercise robot for wrist and forearm rehabilitation , 2014, 2014 19th International Conference on Methods and Models in Automation and Robotics (MMAR).

[14]  Domenico Campolo,et al.  Force control of a robot for wrist rehabilitation: Towards coping with human intrinsic constraints , 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[15]  F. Nyberg,et al.  The Protective and Restorative Effects of Growth Hormone and Insulin-Like Growth Factor-1 on Methadone-Induced Toxicity In Vitro , 2018, International journal of molecular sciences.

[16]  Eric Fleury,et al.  Tracking Clinical Staff Behaviors in an Operating Room , 2019, Sensors.

[17]  Long Tang,et al.  Instantaneous Real-Time Kinematic Decimeter-Level Positioning with BeiDou Triple-Frequency Signals over Medium Baselines , 2015, Sensors.

[18]  Shuxiang Guo,et al.  ULERD-based active training for upper limb rehabilitation , 2012, 2012 IEEE International Conference on Mechatronics and Automation.

[19]  A. U. Pehlivan,et al.  Current Trends in Robot-Assisted Upper-Limb Stroke Rehabilitation: Promoting Patient Engagement in Therapy , 2014, Current Physical Medicine and Rehabilitation Reports.

[20]  Aiguo Song,et al.  A novel self-decoupled four degree-of-freedom wrist force/torque sensor , 2007 .

[21]  Aiguo Song,et al.  Fast Estimation of Strains for Cross-Beams Six-Axis Force/Torque Sensors by Mechanical Modeling , 2013, Sensors.

[22]  Eduardo Rocon,et al.  Exoskeleton-based robotic platform applied in biomechanical modelling of the human upper limb , 2009 .

[23]  Antonio Frisoli,et al.  WRES: A Novel 3 DoF WRist ExoSkeleton With Tendon-Driven Differential Transmission for Neuro-Rehabilitation and Teleoperation , 2018, IEEE Robotics and Automation Letters.

[24]  Neville Hogan,et al.  Impedance Control: An Approach to Manipulation: Part II—Implementation , 1985 .

[25]  Gab-Soon Kim Design of a six-axis wrist force/moment sensor using FEM and its fabrication for an intelligent robot , 2007 .

[26]  Gab-Soon Kim The design of a six-component force/moment sensor and evaluation of its uncertainty , 2001 .

[27]  Mehmet Emin Aktan,et al.  Hybrid impedance control of a robot manipulator for wrist and forearm rehabilitation: Performance analysis and clinical results ☆ , 2018 .

[28]  Neville Hogan,et al.  Impedance Control: An Approach to Manipulation , 1984, 1984 American Control Conference.

[29]  T. Maeder,et al.  Investigation of Polymer Thick-film Piezoresistors for Medical Wrist Rehabilitation and Artificial Knee Load Sensors , 2014 .

[30]  Fares Alahdab,et al.  Global, regional, and national burden of stroke, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016 , 2019, The Lancet Neurology.

[31]  Ping Cai,et al.  Decoupling Analysis of a Sliding Structure Six-axis Force/Torque Sensor , 2013 .

[32]  Peter Oster,et al.  Rehabilitation after stroke. , 2011, Deutsches Arzteblatt international.

[33]  Chyi-Yeu Lin,et al.  Decoupled Six-Axis Force–Moment Sensor with a Novel Strain Gauge Arrangement and Error Reduction Techniques , 2019, Sensors.

[34]  Hyouk Ryeol Choi,et al.  A Novel Six-Axis Force/Torque Sensor for Robotic Applications , 2017, IEEE/ASME Transactions on Mechatronics.

[35]  Agnes Roby-Brami,et al.  Upper-Limb Robotic Exoskeletons for Neurorehabilitation: A Review on Control Strategies , 2016, IEEE Reviews in Biomedical Engineering.

[36]  Arno H. A. Stienen,et al.  Design of a self-aligning 3-DOF actuated exoskeleton for diagnosis and training of wrist and forearm after stroke , 2013, 2013 IEEE 13th International Conference on Rehabilitation Robotics (ICORR).

[37]  Wei Sun,et al.  Design and Analysis of a Sensor System for Cutting Force Measurement in Machining Processes , 2016, Sensors.

[38]  Jing Wu,et al.  Development and evaluation of a compact 6-axis force/moment sensor with a serial structure for the humanoid robot foot , 2015 .

[39]  Robert D. Howe,et al.  Robust and Inexpensive Six-Axis Force–Torque Sensors Using MEMS Barometers , 2017, IEEE/ASME Transactions on Mechatronics.

[40]  Andreas Luft,et al.  Global Burden of Stroke , 2018, Seminars in Neurology.

[41]  Masahiro Takaiwa,et al.  Wrist Rehabilitation Using Pneumatic Parallel Manipulator : Proposal of Rehabilitation Based on EMG Signal , 2012 .

[42]  Marcia Kilchenman O'Malley,et al.  Design and validation of the RiceWrist-S exoskeleton for robotic rehabilitation after incomplete spinal cord injury , 2014, Robotica.

[43]  Olivier Lambercy,et al.  Thick-film multi-DOF force/torque sensor for wrist rehabilitation , 2010 .

[44]  Hao Wang,et al.  Mechanical design of EFW Exo II: A hybrid exoskeleton for elbow-forearm-wrist rehabilitation , 2017, 2017 International Conference on Rehabilitation Robotics (ICORR).

[45]  Bram Vanderborght,et al.  Multi-Axis Force Sensor for Human–Robot Interaction Sensing in a Rehabilitation Robotic Device , 2017, Sensors.

[46]  Jungwon Yoon,et al.  Development of 6-axis force/moment sensor for measuring the fingers' muscular strength of human , 2010, 2010 IEEE International Symposium on Industrial Electronics.