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Periodic Motion Control of Human Arm Movement Based on CPG model

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Advances in Cognitive Neurodynamics (II)

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Abstract

In this paper, a Central Pattern Generator (CPG) model of a flexor and an extensor is developed, according to the experiments implemented in a crank-rotation task. The drive torque which achieved the arm movement is obtained by six muscles models consisted of outputs of the CPG model. The parameters of CPG model is optimized by minimum torque-change criterion and genetic algorithm. Finally, the simulation results are compared with to the experimental data and the CPG model of six muscles are discussed.

The copyright of Figs. 1, 2, 4(b, d) and all the experiment data belongs to Ken Ohta et al. [5]

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References

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Acknowledgements

This work is supported by National Nature Science Foundation of China (10672057, 10872068).

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Authors and Affiliations

  1. School of Information Science and Engineering, Institute of Cognitive Neurodynamics, East China University of Science and Technology, Shanghai, 200237, China

    Jiong Wu, Zhikang Zhang & Jianting Cao

  2. East China University of Science and Technology, Institute for Cognitive Neurodynamics, 130 Meilong Road, 200237, Shanghai, People’s Republic of China

    Rubin Wang

Authors
  1. Jiong Wu
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  2. Rubin Wang
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  3. Zhikang Zhang
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  4. Jianting Cao
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Corresponding author

Correspondence to Jiong Wu .

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Editors and Affiliations

  1. , Institute for Cognitive Neurodynamics, East China University of Science and Tec, Meilong Road 130, Shanghai, 200237, China, People's Republic

    Rubin Wang

  2. Fudan University, Shanghai, China, People's Republic

    Fanji Gu

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Wu, J., Wang, R., Zhang, Z., Cao, J. (2011). Periodic Motion Control of Human Arm Movement Based on CPG model. In: Wang, R., Gu, F. (eds) Advances in Cognitive Neurodynamics (II). Springer, Dordrecht. https://doi.org/10.1007/978-90-481-9695-1_78

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