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JACIII Vol.20 No.3 pp. 477-483
doi: 10.20965/jaciii.2016.p0477
(2016)

Paper:

Evaluation of Power-Assist System by Computer Simulation

Yoshiaki Taniai, Tomohide Naniwa, Yasutake Takahashi, and Masayuki Kawai

Graduate School of Engineering, University of Fukui
3-9-1 Bunkyo, Fukui 910-8507, Japan

Received:
January 24, 2016
Accepted:
April 7, 2016
Published:
May 19, 2016
Keywords:
power-assist system, powered exoskeleton, evaluation, computer simulation, optimality principle
Abstract

Powered exoskeletons have been proposed and developed in various works with the aim of compensating for motor paralysis or reducing weight, workload, or metabolic energy consumption. However, development of the power-assist system depends on the development and evaluation of real powered exoskeletons, and few studies have evaluated the performance of the power-assist system by means of computer simulation. In this paper, we propose an evaluation framework based on computer simulation for the development of an effective power-assist system and demonstrate an analysis of a power-assisted upper-arm reaching movement. We employed the optimality principle to obtain the adapted movements of humans for power-assist systems and compared the performances of power- and non-power-assisted movements in terms of the evaluation index of the power-assist system.

References
  1. [1] Y. Sankai, “HAL: Hybrid Assistive Limb Based on Cybernics,” Robotics Research: The 13th Int. Symp. ISRR, Vol.66, pp. 25-34, 2011.
  2. [2] L. M. Mooney, E. J. Rouse, and H. M. Herr, “Autonomous exoskeleton reduces metabolic cost of human walking during load carriage," J. of NeuroEngineering and Rehabilitation, Vol.11, No.1, pp. 1-11, 2014.
  3. [3] P. L. Gribble, L. I. Mullin, N. Cothros, and A. Mattar, “Role of cocontraction in arm movement accuracy," J. of Neurophysiology, Vol.89, No.5, pp. 2396-2405, 2003.
  4. [4] H. J. Huang, R. Kram, and A. A. Ahmed, “Reduction of Metabolic Cost during Motor Learning of Arm Reaching Dynamics," J. of Neuroscience, Vol.32, No.6, pp. 2182-2190, 2012.
  5. [5] K. Sahashi, S. Nomura, T. Inoue, T. Takahashi, Y. Taniai, and M. Kawai, “Power assist control based on motion sensor (in Japanese)," Proc. of the Fuzzy System Symp., CD-ROM, pp. 340-343, 2015.
  6. [6] S. Galle, P. Malcolm, W. Derave, and D. De Clercq, “Adaptation to walking with an exoskeleton that assists ankle extension," Gait & Posture, Vol.38, No.3, pp. 495-499, 2013.
  7. [7] T. Flash and N. Hogan, “The Coordination of Arm Movements: An Experimentally Confirmed Mathematical Model," J. of Neuroscience, Vol.5, No.7, pp. 1688-1703, 1985.
  8. [8] Y. Uno, M. Kawato, and R. Suzuki, “Formation and Control of Optimal Trajectory in Human Multijoint Arm Movement," Biological Cybernetics, Vol.61, No.2, pp. 89-101, 1989.
  9. [9] Y. Uno, R. Suzuki, and M. Kawato, “Minimum muscle-tension change model which reproduces human arm movement (in Japanese)," Proc. of the 4th Symp. on Biological and Physiological Engineering, pp. 299-302, 1989.
  10. [10] C. M. Harris and D. M. Wolpert, “Signal-dependent noise determines motor planning," Nature, Vol.394, pp. 780-784, 1998.
  11. [11] R. McN. Alexander, “A minimum energy cost hypothesis for human arm trajectories," Biological Cybernetics, Vol.76, No.2, pp. 97-105, 1997.
  12. [12] J. Nishii and Y. Taniai, “Evaluation of Trajectory Planning Models for Arm-Reaching Movements Based on Energy Cost," Neural Computation, Vol.21, No.9, pp. 2634-2647, 2009.
  13. [13] Y. Taniai and J. Nishii, “Optimality of Upper-Arm Reaching Trajectories Based on the Expected Value of the Metabolic Energy Cost," Neural Computation, Vol.27, No.8, pp. 1721-1737, 2015.
  14. [14] H. Miyamoto, E. Nakano, D. M. Wolpert, and M. Kawato, “TOPS (Task Optimization in the Presence of Signal-Dependent Noise) Model," Systems and Computers in Japan, Vol.35, No.11, pp. 940-949, 2004.
  15. [15] M. Y. Zarrugh, and C. W. Radcliffe, “Predicting Metabolic Cost of Level Walking," European J. of Applied Physiology and Occupational Physiology, Vol.38, No.3, pp. 215-223, 1978.
  16. [16] A. E. Minetti and R. McN. Alexander, “A Theory of Metabolic Costs for Bipedal Gaits," J. of Theoretical Biology, Vol.186, No.4, pp. 467-476, 1997.
  17. [17] J. Nishii, Y. Hashizume, S. Kaichida, H. Suenaga, and Y. Tanaka, “Constraint and exploitation of redundant degrees of freedom during walking," Robotics and Autonomous Systems, Vol.60, No.5, pp. 679-684, 2012.
  18. [18] S. Ma and G. I. Zahalak, “A distribution-moment model of energetics in skeletal muscle," J. of Biomechanics, Vol.24, No.1, pp. 21-35, 1991.
  19. [19] B. R. Umberger, K. G. M. Gerritsen, and P. E. Martin, “A Model of Human Muscle Energy Expenditure," Computer Methods in Biomechanics and Biomedical Engineering, Vol.6, No.2, pp. 99-111, 2003.
  20. [20] E. Todorov and W. Li, “A generalized iterative LQG method for locally-optimal feedback control of constrained nonlinear stochastic systems," Proc. of the American Control Conf., pp. 300-306, 2005.
  21. [21] K. R. S. Holzbaur, W. M. Murray, and S. L. Delp, “A Model of the Upper Extremity for Simulating Musculoskeletal Surgery and Analyzing Neuromuscular Control," Annals of Biomedical Engineering, Vol.33, No.6, pp. 829-840, 2005.
  22. [22] S. L. Delp, F. C. Anderson, A. S. Arnold, P. Loan, A. Habib, C. T. John, E. Guendelman, and D. G. Thelen, “OpenSim: Open-Source Software to Create and Analyze Dynamic Simulations of Movement," IEEE Trans. on Biomedical Engineering, Vol.54, No.11, pp. 1940-1950, 2007.
  23. [23] D. G. Thelen, “Adjustment of Muscle Mechanics Model Parameters to Simulate Dynamic Contractions in Older Adults," J. of Biomechanical Engineering, Vol.125, No.1, pp. 70-77, 2003.
  24. [24] A. Wächter and L. T. Biegler, “On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming,” Mathematical Programming, Vol.106, No.1, pp. 25-57, 2006.
  25. [25] L. P. J. Selen, P. J. Beek, and J. H. van Dieën, “Can co-activation reduce kinematic variability? A simulation study," Biological Cybernetics, Vol.93, No.5, pp. 373-381, 2005.

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Last updated on Dec. 12, 2017