An intensity-modulated fiber optic pressure sensor for hand-exoskeleton interactive force detection*

Accurately monitoring the finger interactive force without affecting the actuation is one of the challenges in hand exoskeleton. In this paper an intensity-modulated fiber optic pressure sensor used in hand rehabilitation exoskeleton is proposed. The sensor was designed by attaching a short section of optical fiber to a rigid structure fabricated by 3D printing, and when the structure received external force, it would cause changes in light intensity. The diameter of the sensor was 13mm and the height was smaller than 4mm. It had the advantages of thin thickness, simple structure, high sensitivity and good repeatability. What’s more, it could be easily integrated into the hand exoskeleton without affecting the actuation. We found that one of the key factors affecting the sensor was the length of the force portion of the fiber. In order to argued this influencing factor, prototypes with fiber force lengths of 2.4mm, 3.5mm, 4.7mm, 5.9mm and 7.1mm were designed and fabricated, and calibrated by a Six-Axi Force/Torque Transducer. The results showed that the sensor had better performance when the length was neither too long nor too short (3.5mm and 4.7mm).

[1]  M. Merzenich,et al.  Reorganization of neocortical representations after brain injury: a neurophysiological model of the bases of recovery from stroke. , 1987, Progress in brain research.

[2]  Kaspar Althoefer,et al.  Fiber optics tactile array probe for tissue palpation during minimally invasive surgery , 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[3]  Kotaro Tadano,et al.  Development of grip amplified glove using bi-articular mechanism with pneumatic artificial rubber muscle , 2010, 2010 IEEE International Conference on Robotics and Automation.

[4]  Kaspar Althoefer,et al.  A 2-Axis Optical Force–Torque Fingertip Sensor for Dexterous Grasping Using Linear Polarizers , 2012, IEEE Transactions on Instrumentation and Measurement.

[5]  Francesco Giovacchini,et al.  HANDEXOS: Towards an exoskeleton device for the rehabilitation of the hand , 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[6]  Kaspar Althoefer,et al.  Feasibility study- novel optical soft tactile array sensing for minimally invasive surgery , 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

[7]  Pierre E. Dupont,et al.  FBG-based shape sensing tubes for continuum robots , 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

[8]  Kaspar Althoefer,et al.  Modeling and Optimizing Output Characteristics of Intensity Modulated Optical Fiber-Based Displacement Sensors , 2015, IEEE Transactions on Instrumentation and Measurement.

[9]  Kaspar Althoefer,et al.  Intelligent Fingertip Sensing for Contact Information Identification , 2012 .

[10]  Hong Kai Yap,et al.  A soft exoskeleton for hand assistive and rehabilitation application using pneumatic actuators with variable stiffness , 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

[11]  Kaspar Althoefer,et al.  Finger contact sensing and the application in dexterous hand manipulation , 2015, Autonomous Robots.

[12]  William R Ledoux,et al.  A shear and plantar pressure sensor based on fiber-optic bend loss. , 2005, Journal of rehabilitation research and development.

[13]  Kevin C. Galloway,et al.  Soft robotic glove for hand rehabilitation and task specific training , 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

[14]  Kaspar Althoefer,et al.  Mathematical Modeling of Intensity-Modulated Bent-Tip Optical Fiber Displacement Sensors , 2010, IEEE Transactions on Instrumentation and Measurement.

[15]  José Brandão Faria,et al.  A theoretical analysis of the bifurcated fiber bundle displacement sensor , 1998, IEEE Trans. Instrum. Meas..