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Biologically Inspired Closed-Loop Model of Precision Grip Lifting Task

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Advances in Cognitive Neurodynamics (III)

Abstract

We study precision grip performance (PGP) in human subjects with wide intrinsic variation in skin friction (μ). Two types of subjects (with high and low friction) are considered. Furthermore, change in PGP is studied under transiently varied conditions of μ (dry and wet). The experimental study is also supported by a computational model of PGP involving a nonlinear, closed-loop control scheme. Models of human PGP often deal with performance at a single μ value. However, studies on the effect of intrinsic friction (IF) as opposed to transient changes in friction on PGP are nearly non-existent, which forms the motivation for the present study.

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Acknowledgments

The authors acknowledge support of the Department of Biotechnology, India.

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Authors and Affiliations

  1. Department of Biotechnology, Indian Institute of Technology Madras, Chennai, Tamil Nadu, 600036, India

    Ankur Gupta & V. Srinivasa Chakravarthy

  2. Department of Electrical Engineering, Indian Institute of Technology Madras, Chennai, Tamil Nadu, 600036, India

    Manikanta Avinash

  3. Neurophysiology Laboratory, Department of Neurosurgical Sciences, Christian Medical College, Vellore, Tamil Nadu, 632004, India

    Deepa Kandaswamy, Muthu Kumar & K. Srinivasa Babu

  4. Department of Bioengineering, Christian Medical College, Vellore, Tamil Nadu, 632004, India

    Suresh Devasahayam

Authors
  1. Ankur Gupta
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  2. Manikanta Avinash
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  3. Deepa Kandaswamy
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  4. Muthu Kumar
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  5. Suresh Devasahayam
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  6. K. Srinivasa Babu
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  7. V. Srinivasa Chakravarthy
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Corresponding author

Correspondence to V. Srinivasa Chakravarthy .

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Editors and Affiliations

  1. Lab. for Dynamics of Emergent Intelligen, RIKEN Brain Science Institute Lab. for Dynamics of Emergent Intelligen, Wako City, Japan

    Yoko Yamaguchi

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Gupta, A. et al. (2013). Biologically Inspired Closed-Loop Model of Precision Grip Lifting Task. In: Yamaguchi, Y. (eds) Advances in Cognitive Neurodynamics (III). Springer, Dordrecht. https://doi.org/10.1007/978-94-007-4792-0_73

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