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Unloading muscle activation enhances force perception

Published: 07 March 2014 Publication History

Abstract

In this study, we examined (1) weight discrimination capability of human subjects with different body postures, and (2) sensorimotor capability of human subjects when using a muscle assistive equipment. According to previous studies, humans can sense the intensity of external stimulus more accurately when voluntary muscle activation is less. We developed a three-dimensional musculoskeletal model based on an upper extremity model, and calculated the muscle activity required to keep a posture. We also conducted human experiments and revealed that the weight discrimination capability improves as voluntary muscle activation is less. Based on the experimental results, we developed a muscle assistive equipment that unloads the weight of one's upper limb and evaluated the improvement in the sensorimotor capability when using the equipment. The results show that assisting the muscle load is effective to improve the sensorimotor performance.

References

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Delp, S. L., Anderson, F. C., Arnold, A. S., Loan, P., Habib, A., John, C. T., Guendelman, E., and Thelen, D. G. Opensim: Open-source software to create and analyze dynamic simulations of movement. IEEE Transactions on Biomedical Engineering 54, 11 (2007), 1940--1950.
[2]
Hara, M., Higuchi, T., Ohtake, A., Huang, J., and Yabuta, T. Analysis of weight perceptual mechanism based on muscular motion using virtual reality. In IEEE International Conference on Systems, Man and Cybernetics (2005), 2701--2706.
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Holmin, J. S., and Norman, J. F. Aging and weight-ratio perception. PLOS ONE 7, 10 (2012).
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Holzbaur, K. R. S., Murray, W. M., and Delp, S. L. A model of the upper extremity for simulating musculoskeletal surgery and analyzing neuromuscular control. Annals of Biomedical Engineering 33, 6 (2005), 829--40.
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Jones, L. A. Perception of force and weight: Theory and research. Psychological Bulletin 100, 1 (1986), 29--42.
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Sato, J., Takemura, K., Yamada, N., Kishi, A., Nishikawa, K., Nouzawa, T., Tsuji, T., and Kurita, Y. Investigation of subjective force perception based on estimation of muscle activities during steering operation. In IEEE/SICE International Symposium on System Integration (2013), 76--81.

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  • (2019)A Method for Estimating the Load on Muscles Using a Wearable IR Sensor Array DeviceProceedings of the 2019 2nd International Conference on Sensors, Signal and Image Processing10.1145/3365245.3365258(77-81)Online publication date: 8-Oct-2019
  • (2016)Understanding Force Perception Characteristics of a Human and Its ApplicationsPervasive Haptics10.1007/978-4-431-55772-2_3(39-54)Online publication date: 28-Apr-2016

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  1. Unloading muscle activation enhances force perception

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    cover image ACM Other conferences
    AH '14: Proceedings of the 5th Augmented Human International Conference
    March 2014
    249 pages
    ISBN:9781450327619
    DOI:10.1145/2582051
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Publication History

    Published: 07 March 2014

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    Author Tags

    1. force perception capability
    2. muscle assistive equipment
    3. sensorimotor enhancement

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    • (2019)A Method for Estimating the Load on Muscles Using a Wearable IR Sensor Array DeviceProceedings of the 2019 2nd International Conference on Sensors, Signal and Image Processing10.1145/3365245.3365258(77-81)Online publication date: 8-Oct-2019
    • (2016)Understanding Force Perception Characteristics of a Human and Its ApplicationsPervasive Haptics10.1007/978-4-431-55772-2_3(39-54)Online publication date: 28-Apr-2016

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