Development of a Wearable Sensing Glove for Measuring the Motion of Fingers Using Linear Potentiometers and Flexible Wires

In this paper, a wearable sensing glove for measuring the motion of the fingers is proposed. The system consists of linear potentiometers, flexible wires, and linear springs, which makes it compact and lightweight so that it does not interfere with the natural motion of the fingers. Inspired by the way wrinkles on finger joints are smoothed out when the finger is flexed, a flexible wire is attached to the back of each finger. As the flexible wire moves due to the motion of the finger, the joint angles are calculated by measuring the change in length of wire. Linear potentiometers with linear springs were used to maintain the tension of the wires in order to measure the wire length change consistently. Because the motion of the proximal interphalangeal (PIP) joint is dependent on that of the distal interphalangeal (DIP) joint, only two linear potentiometers were used for each finger. A compact sensing module including 10 linear potentiometers and springs was attached to a glove. The proposed system can widely be applied for the systems, which require to measure finger motions accurately, e.g., virtual reality or teleoperation systems. Such feasible applications were actually implemented and introduced in this paper.

[1]  Takeshi Miura,et al.  Development of a motion capture system for a hand using a magnetic three dimensional position sensor , 2006, SIGGRAPH '06.

[2]  Michiko Nishiyama,et al.  Restraint-free wearable sensing clothes using a hetero-core optic fiber for measurements of arm motion and walking action , 2007, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

[3]  Rodrigo Kaz,et al.  Finger joint motion generated by individual extrinsic muscles: A cadaveric study , 2008, Journal of orthopaedic surgery and research.

[4]  Haruhisa Kawasaki,et al.  Development of a Hand-Assist Robot With Multi-Degrees-of-Freedom for Rehabilitation Therapy , 2012, IEEE/ASME Transactions on Mechatronics.

[5]  Chin-Shyurng Fahn,et al.  Development of a data glove with reducing sensors based on magnetic induction , 2005, IEEE Transactions on Industrial Electronics.

[6]  Michiko Nishiyama,et al.  Wearable Sensing Glove With Embedded Hetero-Core Fiber-Optic Nerves for Unconstrained Hand Motion Capture , 2009, IEEE Transactions on Instrumentation and Measurement.

[7]  Jeongsoo Lee,et al.  Development of a finger motion measurement system using linear potentiometers , 2014, 2014 IEEE/ASME International Conference on Advanced Intelligent Mechatronics.

[8]  Evren Samur,et al.  Performance Metrics for Haptic Interfaces , 2012, Springer Series on Touch and Haptic Systems.

[9]  Kang Li,et al.  Development of finger-motion capturing device based on optical linear encoder. , 2011, Journal of rehabilitation research and development.

[10]  J N A L Leijnse,et al.  Kinematic evaluation of the finger's interphalangeal joints coupling mechanism--variability, flexion-extension differences, triggers, locking swanneck deformities, anthropometric correlations. , 2010, Journal of biomechanics.

[11]  Jamshed Iqbal,et al.  HEXOSYS II - towards realization of light mass robotics for the hand , 2011, 2011 IEEE 14th International Multitopic Conference.

[12]  D. Neumann.  Kinesiology of the musculoskeletal system : foundations for physical rehabilitation , 2002 .

[13]  Michael Girard,et al.  Computer animation of knowledge-based human grasping , 1991, SIGGRAPH.

[14]  Joonbum Bae,et al.  Kinematic analysis of a hand exoskeleton structure , 2013, 2013 10th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI).

[15]  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.