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Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 741))

Abstract

Over the years, industrial evolution has proved to be a complex process, since there are several aspects that need to be considered to achieve highly functional processes and differentiated quality products. To date, four industrial revolutions have been implemented. Thus, the paradigm of Industry 4.0 (I4.0) was born, a concept that aims to improve the efficiency, productivity, automation, and safety of industrial processes, but which also considers the operator’s relevance and centrality in these processes. Besides these four revolutions one more concept is emerging, called Industry 5.0 (I5.0). In recent years, and with the advance of scientific research, the implementation of wearables has proven to be the ideal solution to move towards the digitisation of Industrial sector. In this sense, the aim of this work is to provide a systematic review on the currently available knowledge about wearable technology and its applicability within I4.0. Through these technologies, both processes and operators can be monitored in real time, actively contributing to the identification of limitations and to the implementation of improvements. On the other hand, studies on the acceptance of these devices have shown a certain apprehension by users regarding the security and privacy of collected data. Therefore, studies should be conducted to analyse in depth these limitations, to raise users’ confidence and contribute, in a broader perspective, to the success of industrial processes.

This work was supported by the RD Project “Continental Factory of Future (CONTINENTAL FoF)/POCI-01-0247-FEDER-047512”, financed by the European Regional Development Fund (ERDF), through the Program “Programa Operacional Competitividade e Internacionalização (POCI)/PORTUGAL 2020”, under the management of AICEP Portugal Global - Trade & Investment Agency. This work also funded by the R &D Project “A-MoVeR-Agenda Mobilizadora para o Desenvolvimento de Produtos e Sistemas Inteligentes de Mobilidade Verde”, financed by POCI European Structural and Investment Funds (FEEI).

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References

  1. Svertoka, E., Rusu-Casandra, A., Marghescu, I.: State-of-the-art of industrial wearables: a systematic review. In: 2020 13th International Conference on Communications (COMM), pp. 411–415 (2020)

    Google Scholar 

  2. Forkan, A.R.M., Montori, F., Georgakopoulos, D., Jayaraman, P.P., Yavari, A., Morshed, A.: An industrial IoT solution for evaluating workers’ performance via activity recognition. In: 2019 IEEE 39th International Conference on Distributed Computing Systems (ICDCS), pp. 1393–1403 (2019)

    Google Scholar 

  3. Mansi, S.A., Cosoli, G., Pisello, A.L., Pigliautile, I., Revel, G.M., Arnesano, M.: Thermal discomfort in the workplace: measurement through the combined use of wearable sensors and machine learning algorithms. In: 2022 IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4.0 & IoT), pp. 54–59 (2022)

    Google Scholar 

  4. Patel, C., Doshi, N.: A novel MQTT security framework in generic IoT model. Procedia Comput. Sci. 171, 1399–1408 (2020)

    Article  Google Scholar 

  5. Salvatore, M., Stefano, R.: Smart operators: how Industry 4.0 is affecting the worker’s performance in manufacturing contexts. Procedia Comput. Sci. 180, 958–967 (2021)

    Article  Google Scholar 

  6. Kong, X.T., Luo, H., Huang, G.Q., Yang, X.: Industrial wearable system: the human-centric empowering technology in Industry 4.0. J. Intell. Manuf. 30(8), 2853–2869 (2019)

    Article  Google Scholar 

  7. Lasi, H., Fettke, P., Kemper, H.G., Feld, T., Hoffmann, M.: Industry 4.0. Bus. Inf. Syst. Eng. 6(4), 239–242 (2014)

    Article  Google Scholar 

  8. Da Li, X., He, W., Li, S.: Internet of things in industries: a survey. IEEE Trans. Industr. Inf. 10(4), 2233–2243 (2014)

    Article  Google Scholar 

  9. Miorandi, D., Sicari, S., De Pellegrini, F., Chlamtac, I.: Internet of things: vision, applications and research challenges. Ad Hoc Netw. 10(7), 1497–1516 (2012)

    Article  Google Scholar 

  10. Ometov, A., et al.: A survey on wearable technology: history, state-of-the-art and current challenges. Comput. Netw. 193, 108074 (2021)

    Article  Google Scholar 

  11. Mach, S., Storozynski, P., Halama, J., Krems, J.F.: Assessing mental workload with wearable devices - reliability and applicability of heart rate and motion measurements. Appl. Ergon. 105, 103855 (2022)

    Article  Google Scholar 

  12. Shrouf, F., Ordieres, J., Miragliotta, G.: Smart factories in Industry 4.0: a review of the concept and of energy management approached in production based on the internet of things paradigm. In: 2014 IEEE International Conference on Industrial Engineering and Engineering Management, pp. 697–701 (2014)

    Google Scholar 

  13. di Rienzo, F., Virdis, A., Vallati, C., Carbonaro, N., Tognetti, A.: A sensorized glove for industrial safety based on near-field communication. In: 2020 IEEE International Conference on Smart Computing (SMARTCOMP), pp. 256–258 (2020)

    Google Scholar 

  14. Kitchenham, B.: Procedures for performing systematic reviews. Keele University, Keele, UK, 33(2004), 1–26 (2004)

    Google Scholar 

  15. Guo, D., et al.: Towards assembly 4.0: graduation intelligent manufacturing system for fixed-position assembly islands. IFAC-PapersOnLine 52(13), 1513–1518 (2019)

    Article  Google Scholar 

  16. Villani, V., Gabbi, M., Sabattini, L.: Promoting operator’s wellbeing in Industry 5.0: detecting mental and physical fatigue. In: 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 2030–2036 (2022)

    Google Scholar 

  17. Teixeira, D., Ferreira, J., Gonçalves, R.: Monitoring of shop-floor workers postural stability through the use of smart soles. IFAC-PapersOnLine 55(10), 2234–2239 (2022)

    Article  Google Scholar 

  18. Schwambach, G.C.S., López, Ó.H., Sott, M.K., Tedesco, L.P.C., Molz, R.F.: Acceptance and perception of wearable technologies: a survey on Brazilian and European companies. Technol. Soc. 68, 101840 (2022)

    Article  Google Scholar 

  19. Van Acker, B.B., Conradie, P.D., Vlerick, P., Saldien, J.: Employee acceptability of wearable mental workload monitoring: exploring effects of framing the goal and context in corporate communication. Cogn. Technol. Work 23, 537–552 (2021)

    Article  Google Scholar 

  20. Sánchez, M., Rodriguez, C., Manuel, J.: Smart protective protection equipment for an accessible work environment and occupational hazard prevention. In: 2020 10th International Conference on Cloud Computing, Data Science and Engineering (Confluence), pp. 581–585 (2020)

    Google Scholar 

  21. Fera, M., Greco, A., Caterino, M., Gerbino, S., Caputo, F.: Line balancing assessment enhanced by IoT and simulation tools. In: 2019 II Workshop on Metrology for Industry 4.0 and IoT (MetroInd4.0 & IoT), pp. 84–88 (2019)

    Google Scholar 

  22. Koren, I., Klamma, R.: Enabling visual community learning analytics with internet of things devices. Comput. Hum. Behav. 89, 385–394 (2018)

    Article  Google Scholar 

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Acknowledgements

This work was supported by the R &D Project “Continental Factory of Future, (CONTINENTAL FoF) / POCI-01-0247-FEDER-047512", financed by the European Regional Development Fund(ERDF), through the Program “Programa Operacional Competitividade e Internacionalização (POCI) / PORTUGAL 2020", under the management of aicep Portugal Global – Trade & Investment Agency.

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Correspondence to Tiago Pinto .

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Anes, H., Pinto, T., Lima, C., Nogueira, P., Reis, A. (2023). Wearable Devices in Industry 4.0: A Systematic Literature Review. In: Mehmood, R., et al. Distributed Computing and Artificial Intelligence, Special Sessions I, 20th International Conference. DCAI 2023. Lecture Notes in Networks and Systems, vol 741. Springer, Cham. https://doi.org/10.1007/978-3-031-38318-2_33

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