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Neuromorphic Vision-aided Semi-autonomous System for Prosthesis Control

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XXVII Brazilian Congress on Biomedical Engineering (CBEB 2020)

Part of the book series: IFMBE Proceedings ((IFMBE,volume 83))

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Abstract

In the last years, several works have searched better ways to perform upper-limb prosthesis control. However, current prosthesis control methods are still far from achieving the human limb features, like controlling many degrees of freedom mechanically. Moreover, the complexity of prosthesis control increases the user’s cognitive load, which decreases its usability and user satisfaction rates. Therefore, it is necessary to enhance upper-limb prosthesis control systems for facilitating their control. This work presents an alternative method, which works with the neuromorphic vision to automatize both wrist rotation and grasp selection, according to object orientation and shape.

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Acknowledgements

We thank the funding agencies CNPq, CAPES, and FAPEMIG for the support and the Federal University of Uberlandia for providing the necessary space and resources.

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Authors and Affiliations

  1. Biomedical Engineering Lab, Federal University of Uberlandia, Av Joao Naves de Avila, 2121, Uberlandia, Brazil

    E. L. Gouveia, E. B. Gouveia, A. N. Silva & A. B. Soares

Authors
  1. E. L. Gouveia
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  2. E. B. Gouveia
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  3. A. N. Silva
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  4. A. B. Soares
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Corresponding author

Correspondence to E. L. Gouveia .

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Editors and Affiliations

  1. Department of Electrical Engineering, Universidade Federal do Espírito Santo, Vitória, Brazil

    Teodiano Freire Bastos-Filho

  2. Department of Electrical Engineering, Universidade Federal do Espírito Santo, Vitória, Brazil

    Eliete Maria de Oliveira Caldeira

  3. Department of Electrical Engineering, Universidade Federal do Espírito Santo, Vitória, Brazil

    Anselmo Frizera-Neto

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Gouveia, E.L., Gouveia, E.B., Silva, A.N., Soares, A.B. (2022). Neuromorphic Vision-aided Semi-autonomous System for Prosthesis Control. In: Bastos-Filho, T.F., de Oliveira Caldeira, E.M., Frizera-Neto, A. (eds) XXVII Brazilian Congress on Biomedical Engineering. CBEB 2020. IFMBE Proceedings, vol 83. Springer, Cham. https://doi.org/10.1007/978-3-030-70601-2_336

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  • DOI: https://doi.org/10.1007/978-3-030-70601-2_336

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-70600-5

  • Online ISBN: 978-3-030-70601-2

  • eBook Packages: EngineeringEngineering (R0)

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