Development of a MIot Gait Tracking Platform

Manuel Navarrete; Marc Codina; Ashkan Rezaee; David Castells-Rufas; Armand Castillejo; Jordi Carrabina

doi:10.1007/978-3-031-21333-5_43

Development of a MIot Gait Tracking Platform

Manuel Navarrete^*, Marc Codina, Ashkan Rezaee, David Castells-Rufas, Armand Castillejo, Jordi Carrabina

^*Corresponding author for this work

Department of Microelectronics and Electronic Systems

Research output: Chapter in Book › Chapter › Research › peer-review

3 Citations (Scopus)

Abstract

Gait studies require a way to acquire data that provides details about how a particular activity is performed, such as walking or running. In this way, the dynamics of the gait can be assessed objectively, being able to identify alterations and allowing to guide a personalized treatment as well as to evaluate possible disabilities. In this paper, we describe the development of a Medical IoT (MIoT) gait tracking platform. This is an extension of a previous version based on a fully wireless pair of shoe insoles that can measure gait related data directly on the feet. The insoles can measure the plantar pressure by means of a Force-Sensitive Resistor (FSR) layer. The orientation and displacement of the stride can be determined using an Magnetic-Inertial Measurement Unit (MIMU) integrated into the insole. The platform includes a way to interact with the user via Bluetooth Low Energy (BLE) connection with a mobile application, as well as to host the collected data in a cloud database. This solution is designed to be used in both ways, in the clinical facility or at home while performing daily life activities.

Original language	English
Title of host publication	Proceedings of the International Conference on Ubiquitous Computing and Ambient Intelligence, UCAmI 2022
Editors	José Bravo, Sergio Ochoa, Jesús Favela
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	431-436
Number of pages	6
ISBN (Print)	9783031213328
DOIs	https://doi.org/10.1007/978-3-031-21333-5_43
Publication status	Published - 2023

Publication series

Name	Lecture Notes in Networks and Systems
Volume	594 LNNS
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Keywords

Gait tracking
MIot platform
Shoe insoles

Access to Document

10.1007/978-3-031-21333-5_43

Cite this

Navarrete, M., Codina, M., Rezaee, A., Castells-Rufas, D., Castillejo, A., & Carrabina, J. (2023). Development of a MIot Gait Tracking Platform. In J. Bravo, S. Ochoa, & J. Favela (Eds.), Proceedings of the International Conference on Ubiquitous Computing and Ambient Intelligence, UCAmI 2022 (pp. 431-436). (Lecture Notes in Networks and Systems; Vol. 594 LNNS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-21333-5_43

Navarrete, Manuel ; Codina, Marc ; Rezaee, Ashkan et al. / Development of a MIot Gait Tracking Platform. Proceedings of the International Conference on Ubiquitous Computing and Ambient Intelligence, UCAmI 2022. editor / José Bravo ; Sergio Ochoa ; Jesús Favela. Springer Science and Business Media Deutschland GmbH, 2023. pp. 431-436 (Lecture Notes in Networks and Systems).

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abstract = "Gait studies require a way to acquire data that provides details about how a particular activity is performed, such as walking or running. In this way, the dynamics of the gait can be assessed objectively, being able to identify alterations and allowing to guide a personalized treatment as well as to evaluate possible disabilities. In this paper, we describe the development of a Medical IoT (MIoT) gait tracking platform. This is an extension of a previous version based on a fully wireless pair of shoe insoles that can measure gait related data directly on the feet. The insoles can measure the plantar pressure by means of a Force-Sensitive Resistor (FSR) layer. The orientation and displacement of the stride can be determined using an Magnetic-Inertial Measurement Unit (MIMU) integrated into the insole. The platform includes a way to interact with the user via Bluetooth Low Energy (BLE) connection with a mobile application, as well as to host the collected data in a cloud database. This solution is designed to be used in both ways, in the clinical facility or at home while performing daily life activities.",

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Navarrete, M, Codina, M, Rezaee, A, Castells-Rufas, D, Castillejo, A & Carrabina, J 2023, Development of a MIot Gait Tracking Platform. in J Bravo, S Ochoa & J Favela (eds), Proceedings of the International Conference on Ubiquitous Computing and Ambient Intelligence, UCAmI 2022. Lecture Notes in Networks and Systems, vol. 594 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 431-436. https://doi.org/10.1007/978-3-031-21333-5_43

Development of a MIot Gait Tracking Platform. / Navarrete, Manuel; Codina, Marc; Rezaee, Ashkan et al.
Proceedings of the International Conference on Ubiquitous Computing and Ambient Intelligence, UCAmI 2022. ed. / José Bravo; Sergio Ochoa; Jesús Favela. Springer Science and Business Media Deutschland GmbH, 2023. p. 431-436 (Lecture Notes in Networks and Systems; Vol. 594 LNNS).

Research output: Chapter in Book › Chapter › Research › peer-review

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Navarrete M, Codina M, Rezaee A, Castells-Rufas D, Castillejo A, Carrabina J. Development of a MIot Gait Tracking Platform. In Bravo J, Ochoa S, Favela J, editors, Proceedings of the International Conference on Ubiquitous Computing and Ambient Intelligence, UCAmI 2022. Springer Science and Business Media Deutschland GmbH. 2023. p. 431-436. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-031-21333-5_43