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Pressure-sensitive insoles for real-time gait-related applications
ID Martini, Elena (Author), ID Fiumalbi, Tommaso (Author), ID Dell'Agnello, Filippo (Author), ID Ivanić, Zoran (Author), ID Munih, Marko (Author), ID Vitiello, Nicola (Author), ID Crea, Simona (Author)

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Abstract
Wearable robotic devices require sensors and algorithms that can recognize the user state in real-time, in order to provide synergistic action with the body. For devices intended for locomotion-related applications, shoe-embedded sensors are a common and convenient choice, potentially advantageous for performing gait assessment in real-world environments. In this work, we present the development of a pair of pressure-sensitive insoles based on optoelectronic sensors for the real-time estimation of temporal gait parameters. The new design makes use of a simplified sensor configuration that preserves the time accuracy of gait event detection relative to previous prototypes. The system has been assessed relatively to a commercial force plate recording the vertical component of the ground reaction force (vGRF) and the coordinate of the center of pressure along the so-called progression or antero-posterior plane (CoP$_{AP}$) in ten healthy participants during ground-level walking at two speeds. The insoles showed overall median absolute errors (MAE) of 0.06 (0.02) s and 0.04 (0.02) s for heel-strike and toe-off recognition, respectively. Moreover, they enabled reasonably accurate estimations of the stance phase duration (2.02 (2.03) % error) and CoP$_{AP}$ profiles (Pearson correlation coefficient with force platform ρCoP = 0.96 (0.02)), whereas the correlation with vGRF measured by the force plate was lower than that obtained with the previous prototype ($_{ρv}$GRF = 0.47 (0.20)). These results confirm the suitability of the insoles for online sensing purposes such as timely gait phase estimation and discrete event recognition.

Language:English
Keywords:optoelectronic sensors, wearable sensors, sensorized insole, plantar pressure distribution, real-time gait monitoring, robot control
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:FE - Faculty of Electrical Engineering
Publication status:Published
Publication version:Version of Record
Year:2020
Number of pages:15 str.
Numbering:Vol. 20, iss. 5, art. 1448
PID:20.500.12556/RUL-133222 This link opens in a new window
UDC:681.586:615.8
ISSN on article:1424-8220
DOI:10.3390/s20051448 This link opens in a new window
COBISS.SI-ID:20038403 This link opens in a new window
Publication date in RUL:17.11.2021
Views:969
Downloads:177
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Record is a part of a journal

Title:Sensors
Shortened title:Sensors
Publisher:MDPI
ISSN:1424-8220
COBISS.SI-ID:10176278 This link opens in a new window

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:06.03.2020

Secondary language

Language:Slovenian
Keywords:optoelektronski senzorji, nosljivi senzorji, senzorski vložek, porazdelitev podpornega tlaka, sprotno spremljanje hoje, vodenje robotov

Projects

Funder:EC - European Commission
Funding programme:FP7
Project number:287894
Name:The CYBERnetic LowEr-Limb CoGnitive Ortho-prosthesis
Acronym:CYBERLEGs

Funder:EC - European Commission
Funding programme:H2020
Project number:731931
Name:The CYBERnetic LowEr-Limb CoGnitive Ortho-prosthesis Plus Plus
Acronym:CYBERLEGs Plus Plus

Funder:ARRS - Slovenian Research Agency
Project number:P2-0228
Name:Analiza in sinteza gibanja pri človeku in stroju

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