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International Work-Conference on the Interplay Between Natural and Artificial Computation

IWINAC 2019: From Bioinspired Systems and Biomedical Applications to Machine Learning pp 99–108Cite as

Gesture Control Wearables for Human-Machine Interaction in Industry 4.0

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11487))

Abstract

The deployment of Industry 4.0 will achieve great aims regarding production rate, control, data analysis, cost, energy consumption and flexibility. However, one of the most significant aspects is the human factor. Robots, machinery and knowledge needed could lead to a social problem for those operators who are not prepared to face such big technology challenges. This could cause a technological gap resulting in a rejection or disapproval of beneficial technology. To preserve this emerging paradigm’s balance, researchers and developers must consider using intelligent human-machine interaction capabilities before building novel industry deployments. This paper introduces a smart gesture control system that facilitates movements of a robotic arm with the aid of two wearables devices. By using this kind of control system, any worker should fit into the new paradigm where some precise, hazardous or heavy tasks incorporate robots. Furthermore, this proposal is suited to industry scenarios, since it fulfills fundamental requirements regarding success rate and real-time control as well as high flexibility and scalability, which are key factors in Industry 4.0.

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Acknowledgments

This work was partially supported by Spanish Ministerio de Ciencia, Innovación y Universidades, Agencia Estatal de Investigación (AEI)/European Regional Development Fund (FEDER, UE) under DPI2016-80894-R grant.

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Authors and Affiliations

  1. Instituto de Investigación en Informática de Albacete, Universidad de Castilla-La Mancha, 02071, Albacete, Spain

    Luis Roda-Sanchez, Teresa Olivares, Celia Garrido-Hidalgo & Antonio Fernández-Caballero

  2. Departamento de Sistemas Informáticos, Universidad de Castilla-La Mancha, 02071, Albacete, Spain

    Teresa Olivares & Antonio Fernández-Caballero

Authors
  1. Luis Roda-Sanchez
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  2. Teresa Olivares
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  3. Celia Garrido-Hidalgo
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  4. Antonio Fernández-Caballero
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Corresponding author

Correspondence to Luis Roda-Sanchez .

Editor information

Editors and Affiliations

  1. Universidad Politécnica de Cartagena, Cartagena, Spain

    José Manuel Ferrández Vicente

  2. Universidad Nacional de Educación a Distancia, Madrid, Spain

    José Ramón Álvarez-Sánchez

  3. Universidad Nacional de Educación a Distancia, Madrid, Madrid, Spain

    Félix de la Paz López

  4. Universidad Politécnica de Cartagena, Cartagena, Spain

    Javier Toledo Moreo

  5. The Ohio State University, Columbus, OH, USA

    Hojjat Adeli

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Cite this paper

Roda-Sanchez, L., Olivares, T., Garrido-Hidalgo, C., Fernández-Caballero, A. (2019). Gesture Control Wearables for Human-Machine Interaction in Industry 4.0. In: Ferrández Vicente, J., Álvarez-Sánchez, J., de la Paz López, F., Toledo Moreo, J., Adeli, H. (eds) From Bioinspired Systems and Biomedical Applications to Machine Learning. IWINAC 2019. Lecture Notes in Computer Science(), vol 11487. Springer, Cham. https://doi.org/10.1007/978-3-030-19651-6_10

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  • DOI: https://doi.org/10.1007/978-3-030-19651-6_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-19650-9

  • Online ISBN: 978-3-030-19651-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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