Wearable Devices in Industry 4.0: A Systematic Literature Review
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-38318-2_33
Reference22 articles.
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)
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)
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)
4. Patel, C., Doshi, N.: A novel MQTT security framework in generic IoT model. Procedia Comput. Sci. 171, 1399–1408 (2020)
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)
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1. Wearable Devices for Communication and Problem-Solving in the Context of Industry 4.0;HCI International 2023 – Late Breaking Papers;2023
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