Journal of Bionic Engineering

, Volume 14, Issue 4, pp 680–691 | Cite as

Analysis of Finger Muscular Forces using a Wearable Hand Exoskeleton System



In this paper, the finger muscular forces were estimated and analyzed through the application of inverse dynamics-based static optimization, and a hand exoskeleton system was designed to pull the fingers and measure the dynamics of the hand. To solve the static optimization, a muscular model of the hand flexors was derived. The experimental protocol was devised to analyze finger flexors in order to evaluate spasticity of the clenched fingers; muscular forces were estimated while the flexed fingers were extended by the exoskeleton with external loads applied. To measure the finger joint angles, the hand exoskeleton system was designed using four-bar linkage structure and potentiometers. In addition, the external loads to the fingertips were generated by cable driven actuators and simultaneously measured by loadcells which were located at each phalanx. The experiments were performed with a normal person and the muscular forces estimation results were discussed with reference to the physical phenomena.


hand rehabilitation wearable system bionic exoskeleton musculoskeletal model inverse dynamics static optimization 


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  1. [1]
    Stroke Center, Stroke Statistics, [2017-04-10], Scholar
  2. [2]
    Chung S G, Bai Z, Rymer W Z, Zhang L Q. Changes of reflex, non-reflex and torque generation properties of spastic ankle plantar flexors induced by intelligent stretching. Proceedings of 27th Annual International Conference of Engineering in Medicine and Biology Society, Shanghai, China, 2006, 3672–3675.Google Scholar
  3. [3]
    Friden J, Lieber R L. Spastic muscle cells are shorter and stiffer than normal cells. Muscle & Nerve, 2003, 27, 157–164.CrossRefGoogle Scholar
  4. [4]
    Herring S W, Grimm A F, Grimm B R. Regulation of sarcomere number in skeletal muscle: A comparison of hypotheses. Muscle & Nerve, 1984, 7, 161–173.CrossRefGoogle Scholar
  5. [5]
    Tabary J C, Tardieu C, Tardieu G, Tabary C, Gagnard L. Functional adaptation of sarcomere number of normal cat muscle. Journal de Physiologie, 1976, 72, 277–291.Google Scholar
  6. [6]
    Williams P E, Goldspink G. Changes in sarcomere length and physiological properties in immobilized muscle. Journal of Anatomy, 1978, 127, 459–468.Google Scholar
  7. [7]
    Li K, Chen I M, Yeo S H, Lim C K. Development of finger-motion capturing device based on optical linear encoder. Journal of Rehabilitation Research and Development, 2011, 48, 69–82.CrossRefGoogle Scholar
  8. [8]
    Mitobe K, Kaiga T, Yukawa T, Miura T, Tamamoto H, Rodgers A, Yoshimura N. Development of a motion capture system for a hand using a magnetic three dimensional position sensor. Proceedings of Acm Siggraph Research Posters, 2006, Boston, Massachusetts, USA, 102.Google Scholar
  9. [9]
    Nishyama M, Watanabe K. Wearable sensing glove with embedded hetero-core fiber-optic nerves for unconstrained hand motion capture. IEEE Transactions on Instrumentation and Measurement, 2009, 58, 3995–4000.CrossRefGoogle Scholar
  10. [10]
    Tadano K, Akai M, Kadota K, Kawashima K. Development of grip amplified glove using bi-articular mechanism with pneumatic artificial rubber muscle. Proceedings of IEEE International Conference on Robotics and Automation (ICRA), Anchorage, USA, 2010, 2363–2368.Google Scholar
  11. [11]
    Ito S, Kawasaki H, Ishigure Y, Natsume M, Mouri T, Nishimoto Y. A design of fine motion assist equipment for disabled hand in robotic rehabilitation system. Journal of the Franklin Institute, 2011, 348, 79–89.CrossRefGoogle Scholar
  12. [12]
    Schabowsky C N, Godfrey S B, Holley R J, Lum P S. Development and pilot testing of HEXORR: Hand EXO-skeleton rehabilitation robot. Journal of Neuroengineering and Rehabilitation, 2010, 7, 36.CrossRefGoogle Scholar
  13. [13]
    Guo S X, Zhang W J, Guo J, Hu Y Y. Design and kinematic simulation of a novel exoskeleton rehabilitation hand robot. Proceedings of IEEE International Conference on Mechatronics and Automation (ICMA), Harbin, China, 2016, 1125–1130.Google Scholar
  14. [14]
    Abbruzzese K, Foulds R. Assessment of a 7-DOF hand exoskeleton for neurorehabilitation. In Wearable Robotics: Challenges and Trends, González-Vargas J, Ibáñez J, Contreras-Vidal J, van der Kooij H, Pons J eds, Springer International Publishing, Switzerland, 2017, 409–413.CrossRefGoogle Scholar
  15. [15]
    Gao F, Grant T H, Roth E J, Zhang L Q. Changes in passive mechanical properties of the gastrocnemius muscle at the muscle fascicle and joint levels in stroke survivors. Archives of Physical Medicine and Rehabilitation, 2009, 90, 819–826.CrossRefGoogle Scholar
  16. [16]
    Pedotti A, Krishnan V V, Stark L. Optimization of muscle-force sequencing in human locomotion. Mathematical Biosciences, 1978, 38, 57–76.CrossRefGoogle Scholar
  17. [17]
    Brook N, Mizrahi J, Shoham M, Dayan J. A biomechanical model of index finger dynamics. Medical Engineering & Physics, 1995, 17, 54–63.CrossRefGoogle Scholar
  18. [18]
    Erdemir A, McLean S, Herzog W, van den Bogert A J. Model-based estimation of muscle forces exerted during movements. Clinical Biomechanics, 2007, 22, 131–154.CrossRefGoogle Scholar
  19. [19]
    Ketchum L D, Thompson D, Pocock G, Wallingford D. A clinical study of forces generated by the intrinsic muscles of the index finger and the extrinsic flexor and extensor muscles of the hand. The Journal of Hand Surgery, 1978, 3, 571–578.CrossRefGoogle Scholar
  20. [20]
    Smith E M, Juvinall R C, Bender L F, Pearson J R. Role of the finger flexors in rheumatoid deformities of the metacarpophalangeal joints. Arthritis & Rheumatism, 1964, 7, 467–480.CrossRefGoogle Scholar
  21. [21]
    Weightman B, Amis A A. Finger joint force predictions related to design of joint replacements. Journal of Biomedical Engineering, 1982, 4, 197–205.CrossRefGoogle Scholar
  22. [22]
    Biryukova E V, Yourovskaya V Z. A model of human hand dynamics. Advances in the Biomechanics of the Hand and Wrist, Springer US, 1994, 256, 107–122.CrossRefGoogle Scholar
  23. [23]
    Esteki A, Mansour J M. A Dynamic Model of the Hand with Application in Functional Neuromuscular Stimulation, 1995, PhD Thesis, Case Western Reserve University.Google Scholar
  24. [24]
    Harding D C, Brandt K D, Hillberry B M. Finger joint force minimization in pianists using optimization techniques. Journal of Biomechanics, 1993, 26, 1403–1412.CrossRefGoogle Scholar
  25. [25]
    Hu D, Howard D, Ren L. Biomechanical analysis of the human finger extensor mechanism during isometric pressing. PloS ONE, 2014, 9, e94533.CrossRefGoogle Scholar
  26. [26]
    Sancho-Bru J L, Perez-Gonzalez A, Vergara-Monedero M, Giurintano D. A 3-D dynamic model of human finger for studying free movements. Journal of Biomechanics, 2001, 34, 1491–1500.CrossRefGoogle Scholar
  27. [27]
    Collins J J. The redundant nature of locomotor optimization laws. Journal of Biomechanics, 1995, 28, 251–267.CrossRefGoogle Scholar
  28. [28]
    Chen W R, Xiong C H. On adaptive grasp with underactuated anthropomorphic hands. Journal of Bionic Engineering, 2016, 13, 59–72.CrossRefGoogle Scholar
  29. [29]
    Cappozzo A, Leo T, Pedotti A. A general computing method for the analysis of human locomotion. Journal of Biomechanics, 1975, 8, 307–320.CrossRefGoogle Scholar
  30. [30]
    Miller D I, Nelson R C. Biomechanics of Sport, Lea & Febiger, Philadelphia, USA, 1973.Google Scholar
  31. [31]
    Plagenhoef S. Patterns of Human Motion: A Cinematographic Analysis, Prentice Hall, Englewood Cliffs, New Jersey, USA, 1971.Google Scholar
  32. [32]
    Chao E Y, An K N. Graphical interpretation of the solution to the redundant problem in biomechanics. Journal of Biomechanical Engineering, 1978, 100, 159–167.CrossRefGoogle Scholar
  33. [33]
    Hoy M G, Zajac F E, Gordon M E. A musculoskeletal model of the human lower extremity: The effect of muscle, tendon, and moment arm on the moment-angle relationship of musculotendon actuators at the hip, knee, and ankle. Journal of Biomechanics, 1990, 23, 157–169.CrossRefGoogle Scholar
  34. [34]
    An K N, Chao E Y, Cooney W P, Linscheid R L. Normative model of human hand for biomechanical analysis. Journal of Biomechanics, 1979, 12, 775–788.CrossRefGoogle Scholar
  35. [35]
    Jacobson M D, Raab R, Fazeli B M, Abrams R A, Botte M J, Lieber R L. Architectural design of the human intrinsic hand muscles. The Journal of Hand Surgery, 1992, 17, 804–809.CrossRefGoogle Scholar
  36. [36]
    Loren G J, Shoemaker S D, Burkholder T J, Jacobson M D, Friden J, Lieber R L. Human wrist motors: Biomechanical design and application to tendon transfers. Journal of Biomechanics, 1996, 29, 331–342.CrossRefGoogle Scholar
  37. [37]
    Gonzales R V, Buchanan T S, Delp S L. How muscle architecture and moment arms affect wrist flexion-extension moments. Journal of Biomechanics, 1997, 30, 705–712.CrossRefGoogle Scholar
  38. [38]
    Preedy V R. Handbook of Anthropometry: Physical Measures of Human Form in Health and Disease, Springer, New York, USA, 2012.CrossRefGoogle Scholar
  39. [39]
    Holzbaur K R, Murray W M, Delp S L. A model of the upper extremity for simulating musculoskeletal surgery and analyzing neuromuscular control. Annals of Biomedical Engineering, 2005, 33, 829–840.CrossRefGoogle Scholar
  40. [40]
    Maughan R J, Watson J S, Weir J. Strength and cross-sectional area of human skeletal muscle. The Journal of Physiology, 1983, 338, 37–49.CrossRefGoogle Scholar
  41. [41]
    Crowninshield R D, Brand R A. A physiologically based criterion of muscle force prediction in locomotion. Journal of Biomechanics, 1981, 14, 793–801.CrossRefGoogle Scholar
  42. [42]
    Delp S L, Grierson A E, Buchanan T S. Maximumisometric moments generated by the wrist muscles in flexion-extension and radial-ulnar deviation. Journal of Biomechanics, 1996, 29, 1371–1375.CrossRefGoogle Scholar
  43. [43]
    Zhang W J, Li Q, Guo L S. Integrated design of mechanical structure and control algorithm for a programmable four-bar linkage. IEEE/ASME Transactions on Mechatronics, 1999, 4, 354–362.CrossRefGoogle Scholar
  44. [44]
    Lee J, Bae J. Design of a hand exoskeleton for biomechanical analysis of the stroke hand. Proceedings of IEEE International Conference on Rehabilitation Robotics (ICORR), Singapore, Singapore, 2015, 484–489.Google Scholar
  45. [45]
    Panasonic, Rotary Potentiometer, [2017-04-10],
  46. [46]
    Maxon Motor, [2017-04-10],
  47. [47]
    National Instruments, NI cRIO, [2017-04-10],
  48. [48]
    Wang N F, Lao K Y, Zhang X M. Design and myoelectric control of an anthropomorphic prosthetic hand. Journal of Bionic Engineering, 2017, 14, 47–59.CrossRefGoogle Scholar

Copyright information

© Jilin University 2017

Authors and Affiliations

  1. 1.Department of Mechanical EngineeringUNISTUlsanKorea

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