Abstract
The Industry 4.0 paradigm pursues improvements in production rate, flexibility, efficiency, quality, among others, through the use of technologies like Internet of Things (IoT), ambient intelligence and collaborative robots. Robots developing precision tasks, works in hazardous environments or movements of heavy parts, autonomously or in cooperation with workers, offer great advantages. Although collaboration provides great benefits, these technologies should be appropriate for all kind of workers, independently of their technical skills. If this problem is not addressed properly, irruption of robots could lead to social instability and/or rejection of useful advances. In this work, a gesture control system based on wearables oriented to Industry 4.0 robots is tested with real users to validate a novel gesture control system as an intuitive tool.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Gascueña, J.M., Navarro, E., Fernández-Sotos, P., Fernández-Caballero, A., Pavón, J.: IDK and ICARO to develop multi-agent systems in support of ambient intelligence. J. Intell. Fuzzy Syst. 28(1), 3–15 (2015)
Rivas-Casado, A., Martinez-Tomás, R., Fernández-Caballero, A.: Multi-agent system for knowledge-based event recognition and composition. Expert Syst. 28(5), 488–501 (2011)
Diez-Olivan, A., Del Ser, J., Galar, D., Sierra, B.: Data fusion and machine learning for industrial prognosis: trends and perspectives towards Industry 4.0. Inf. Fusion 50, 92–111 (2019)
Peruzzini, M., Grandi, F., Pellicciari, M.: Benchmarking of tools for user experience analysis in Industry 4.0. Procedia Manuf. 11, 806–813 (2017)
Dajun, Z., Minghui, S., Fei, C., Chih-Min, L., Longzhi, Y., Changjing, S., Changle, Z.: Use of human gestures for controlling a mobile robot via adaptive CMAC network and fuzzy logic controller. Neurocomputing 282, 218–231 (2018)
Hortelano, D., Olivares, T., Ruiz, M.C., Garrido-Hidalgo, C., López, V.: From sensor networks to Internet of Things. Bluetooth Low Energy, a standard for this evolution. Sensors 17(2), 372 (2017)
Roda-Sanchez, L., Garrido-Hidalgo, C., Hortelano, D., Olivares, T., Ruiz, M.C.: OperaBLE: an IoT-based wearable to improve efficiency and smart worker care services in Industry 4.0. J. Sens. 2018, 6272793 (2018)
Garrido-Hidalgo, C., Hortelano, D., Roda-Sanchez, L., Olivares, T., Ruiz, M.C., López, V.: IoT heterogeneous mesh network deployment for human-in-the-loop challenges towards a social and sustainable Industry 4.0. IEEE Access 6, 28417–28437 (2018)
Lund, A.: Measuring usability with the USE questionnaire. Usability and User Experience Newsletter of the STC Usability SIG, vol. 8 (2001)
López-Jaquero, V., Montero, F., Molina, J.P., Fernández-Caballero, A., González, P.: Model-based design of adaptive user interfaces through connectors. In: Jorge, J.A., Jardim, N.N., Falcão e Cunha, J. (eds.) Interactive Systems - Design, Specification, and Verification, pp. 245–257. Springer, Heidelberg (2003)
Neto, P., Pires, J.N., Moreira, A.P.: Accelerometer-based control of an industrial robotic arm. In: The 18th IEEE International Symposium on Robot and Human Interactive Communication, vol. 11, pp. 1192–1197 (2009)
Mendes, N., Ferrer, J., Vitorino, J., Safeea, M., Neto, P.: Human behavior and hand gesture classification for smart human-robot interaction. Procedia Manuf. 11, 91–98 (2017)
Acknowledgements
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.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Roda-Sanchez, L., Olivares, T., García, A.S., Garrido-Hidalgo, C., Fernández-Caballero, A. (2020). Gesture Control System for Industry 4.0 Human-Robot Interaction – A Usability Test. In: Novais, P., Lloret, J., Chamoso, P., Carneiro, D., Navarro, E., Omatu, S. (eds) Ambient Intelligence – Software and Applications –,10th International Symposium on Ambient Intelligence. ISAmI 2019. Advances in Intelligent Systems and Computing, vol 1006 . Springer, Cham. https://doi.org/10.1007/978-3-030-24097-4_7
Download citation
DOI: https://doi.org/10.1007/978-3-030-24097-4_7
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-24096-7
Online ISBN: 978-3-030-24097-4
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)