Smart Shoe Insole Based on Polydimethylsiloxane Composite Capacitive Sensors

• Published in: Sensors (Basel, Switzerland) Vol. 23; no. 3; p. 1298
• Main Authors: Luna-Perejón, Francisco, Salvador-Domínguez, Blas, Perez-Peña, Fernando, Corral, José María Rodríguez, Escobar-Linero, Elena, Morgado-Estévez, Arturo
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 23.01.2023; MDPI
• Subjects: Abnormalities; Analysis; capacitive sensor; Composition; deep learning; Dimethylpolysiloxane; Dimethylpolysiloxanes; Foot; Foot diseases; Gait; Habits; Insoles; Musculoskeletal system; Older people; PDMS; Plantar pressure; Polydimethylsiloxane; Pressure; Pressure distribution; Rubber; Sensors; Shoes; smart insole; Walking; Spain; capacitive sensor; deep learning; smart insole; PDMS
• ISSN: 1424-8220; 1424-8220
• DOI: 10.3390/s23031298

Nowadays, the study of the gait by analyzing the distribution of plantar pressure is a well-established technique. The use of intelligent insoles allows real-time monitoring of the user. Thus, collecting and analyzing information is a more accurate process than consultations in so-called gait laboratories. Most of the previous published studies consider the composition and operation of these insoles based on resistive sensors. However, the use of capacitive sensors could provide better results, in terms of linear behavior under the pressure exerted. This behavior depends on the properties of the dielectric used. In this work, the design and implementation of an intelligent plantar insole composed of capacitive sensors is proposed. The dielectric used is a polydimethylsiloxane (PDMS)-based composition. The sensorized plantar insole developed achieves its purpose as a tool for collecting pressure in different areas of the sole of the foot. The fundamentals and details of the composition, manufacture, and implementation of the insole and the system used to collect data, as well as the data samples, are shown. Finally, a comparison of the behavior of both insoles, resistive and capacitive sensor-equipped, is made. The prototype presented lays the foundation for the development of a tool to support the diagnosis of gait abnormalities.