Next Article in Journal
Development of NOx Gas Sensor Based on Electrospun ZnO Nanofibers for Diagnosing Asthma Disease
Previous Article in Journal
Development of an e-Nose System for the Early Diagnosis of Sepsis in Mechanically Ventilated Patients: A Preliminary Study
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Abstract

A Low-Cost, Self-Powered, Plantar Pressure Distribution Sensing Insole †

1
Department of Mechatronics, École Normale Supérieure de Rennes, 35170 Bruz, France
2
SATIE Laboratory, UMR CNRS 8029, École Normale Supérieure de Rennes, 35170 Bruz, France
3
OASIS, IETR UMR CNRS 6164, Université de Rennes 1, 35042 Rennes, France
4
FEMTO-ST Institute, University of Franche-Comté, CNRS (UMR 6174), ENSMM, 26 rue de l’Epitaphe, 25030 Besançon, France
5
Movement, Sports and Health (M2S) Laboratory, École Normale Supérieure de Rennes, 35170 Bruz, France
*
Author to whom correspondence should be addressed.
Presented at the XXXV EUROSENSORS Conference, Lecce, Italy, 10–13 September 2023.
Proceedings 2024, 97(1), 29; https://doi.org/10.3390/proceedings2024097029
Published: 15 March 2024

Abstract

:
Energy-autonomous wireless sensors are a promising solution for developing wearable medical, lifestyle- and performance-monitoring systems. This paper presents a low-cost, low-power and self-powered wearable intelligent pressure monitoring system based on flexible piezoresistive sensors. The encapsulated insole with an 8 × 2 sensor matrix is powered by a flexible solar panel and connected to a rigid electronic board. Data acquisition occurs via Bluetooth low-energy transmission (BLE), and the average power consumption of the insole is 113 µW.

1. Introduction

Nowadays, using smart insoles to monitor plantar motion is becoming increasingly important. These insoles are renowned for their importance in the sport and medical fields [1]. Some devices are already commercially available (Moticon, Pedar, F-scan etc.); however, these solutions are lacking in terms of energy consumption, comfort, cost and mechanical robustness. Thus, researchers are making significant advances in the development of this kind of device [2]. In this context, the study of a low-cost, low-power and self-powered wearable intelligent pressure monitoring system based on flexible piezoresistive sensors is presented in this paper. A synoptic diagram of the system is presented in Figure 1.

2. Materials and Methods

To measure pressure distribution throughout the foot, we design an insole with an 8 × 2 sensor matrix [3]. The structure of this insole is multi-layered, with a single layer of carbon black (Velostat). The electrode structure is based on lines on one side and on columns on the other side of the Velostat layer, as shown in Figure 1a. We then sufficiently measure the resistance between the lines and columns, mainly at the intersection to measure the change in resistance due to applied pressure. The insole is encapsulated in a 27 cm size shoe mold with flexible and biocompatible polydimethylsiloxane (PDMS), RTV 615, to protect the electrode and insole from external influences, such as moisture, mechanical stress, fluctuating voltage, temperature and vibrations.
The insole is connected to an electronic board. Data acquisition is performed using an Arduino nano 33 BLE device, and the data are transmitted through a BLE radio integrated within the microcontroller. The electrical energy provided by the flexible solar panel (MPT3.6-150 PowerFilm©, 100 [email protected] V) is stored in a capacitor called Cstorage, which powers the entire electronic board (Vstor).
The collected data are processed with a computer using an inverse viscoelastic model [3] to estimate the plantar force. The error of the measurements is below 2% of the full scale.

3. Discussion

Figure 2 shows the voltage Vstor across the capacitor Cstorage using a PV panel to provide indoor lighting. The value chosen for this capacitor was 100 µF to allow a margin and extra energy capacity to supply the whole system, and Isyst represents the current flowing through the system.
The developed smart system features power consumption Pq ≈ 62.8 mW, which is given in Equation (1) as follows:
P q = 1 τ 0 τ V s t o r t I s y s t t d t ,
where τ is the time of the measurements and data transmission via BLE.
The average power consumption of the insole is 113 µW in the active mode; in fact, the system takes full advantage of the low-power characteristics of the components used.

Author Contributions

Conceptualization, A.-R.A.L., G.J. and M.C.; methodology, A.-R.A.L., M.C., S.M., G.J. and F.R.; software, A.-R.A.L.; validation, A.-R.A.L., M.C., G.J. and F.R.; formal analysis, A.-R.A.L. and G.J.; investigation, A.-R.A.L.; resources, A.-R.A.L.; data curation, A.-R.A.L.; writing—original draft preparation, A.-R.A.L.; writing—review and editing, A.-R.A.L., G.J., M.C., S.M., D.H., N.B. and F.R.; visualization, A.-R.A.L., G.J. and F.R.; supervision, G.J. and F.R.; project administration, G.J. and F.R.; funding acquisition, G.J. and F.R. All authors have read and agreed to the published version of the manuscript.

Funding

This study is funded by the ANR within the framework of the PIA EURDIGISPORT project (ANR-18-EURE-0022).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The raw data supporting the conclusions of this article will be made available by the authors on request.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Drăgulinescu, A.; Drăgulinescu, A.-M.; Zincă, G.; Bucur, D.; Feieș, V.; Neagu, D.-M. Smart Socks and In-Shoe Systems: State-of-the-Art for Two Popular Technologies for Foot Motion Analysis, Sports, and Medical Applications. Sensors 2020, 20, 4316. [Google Scholar] [CrossRef] [PubMed]
  2. Almuteb, I.; Hua, R.; Wang, Y. Smart insoles review (2008–2021): Applications, potentials, and future. Smart Health 2022, 25, 100301. [Google Scholar] [CrossRef]
  3. Laaraibi, A.-R.A.; Jodin, G.; Hoareau, D.; Bideau, N.; Razan, F. Flexible dynamic pressure sensor for insole based on inverse viscoelastic model. IEEE Sens. J. 2023, 23, 7634–7643. [Google Scholar] [CrossRef]
Figure 1. System diagram. (a) Self-powered encapsulated insole using a flexible solar panel; (b) inverse viscoelastic model [3]; (c) plantar pressure distribution sensing.
Figure 1. System diagram. (a) Self-powered encapsulated insole using a flexible solar panel; (b) inverse viscoelastic model [3]; (c) plantar pressure distribution sensing.
Proceedings 97 00029 g001
Figure 2. Functional evolution of the supply voltage Vstor versus time.
Figure 2. Functional evolution of the supply voltage Vstor versus time.
Proceedings 97 00029 g002
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Laaraibi, A.-R.A.; Jodin, G.; Costanza, M.; Hoareau, D.; Margueron, S.; Bideau, N.; Razan, F. A Low-Cost, Self-Powered, Plantar Pressure Distribution Sensing Insole. Proceedings 2024, 97, 29. https://doi.org/10.3390/proceedings2024097029

AMA Style

Laaraibi A-RA, Jodin G, Costanza M, Hoareau D, Margueron S, Bideau N, Razan F. A Low-Cost, Self-Powered, Plantar Pressure Distribution Sensing Insole. Proceedings. 2024; 97(1):29. https://doi.org/10.3390/proceedings2024097029

Chicago/Turabian Style

Laaraibi, Abdo-Rahmane Anas, Gurvan Jodin, Mario Costanza, Damien Hoareau, Samuel Margueron, Nicolas Bideau, and Florence Razan. 2024. "A Low-Cost, Self-Powered, Plantar Pressure Distribution Sensing Insole" Proceedings 97, no. 1: 29. https://doi.org/10.3390/proceedings2024097029

Article Metrics

Back to TopTop