A Cost Effective Smart Insole System for Real Time Gait Analysis

Nikos Antoniou; Antonis Hadjiantonis; Costas Kyriacou; Andreas Konstantinidis

doi:10.1109/SENSORS56945.2023.10325292

A Cost Effective Smart Insole System for Real Time Gait Analysis

Nikos Antoniou
, Antonis Hadjiantonis
, Costas Kyriacou
, Andreas Konstantinidis

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Smart insoles have great potential as they offer real-time monitoring, analysis, and feedback for foot biomechanics, aiding in injury prevention and athletic performance improvement. Although off-the-shelf smart insoles exists, and solutions have been proposed, they are either very expensive, non-integrable, or lack sensors. In the current work, a lowcost fully integrated smart insole is introduced. The design integrates Force Sensing Resistors (FSRs), a 9-DOF IMU, Bluetooth Low Energy (BLE), and wireless charging. The system can transmit in real-time at 100Hz for more than 6 hours with a 40 mAh battery. It can accurately identify walking and running patterns with great synchronization between the left and right foot.

Original language	English
Title of host publication	2023 IEEE SENSORS, SENSORS 2023 - Conference Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350303872
DOIs	https://doi.org/10.1109/SENSORS56945.2023.10325292
Publication status	Published - 2023
Externally published	Yes
Event	2023 IEEE SENSORS, SENSORS 2023 - Vienna, Austria Duration: 29 Oct 2023 → 1 Nov 2023

Publication series

Name	Proceedings of IEEE Sensors
ISSN (Print)	1930-0395
ISSN (Electronic)	2168-9229

Conference

Conference	2023 IEEE SENSORS, SENSORS 2023
Country/Territory	Austria
City	Vienna
Period	29/10/23 → 1/11/23

Keywords

force sensitive resistor
gait
inertial measurement unit
smart insoles
wearable

Access to Document

10.1109/SENSORS56945.2023.10325292

Cite this

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title = "A Cost Effective Smart Insole System for Real Time Gait Analysis",

abstract = "Smart insoles have great potential as they offer real-time monitoring, analysis, and feedback for foot biomechanics, aiding in injury prevention and athletic performance improvement. Although off-the-shelf smart insoles exists, and solutions have been proposed, they are either very expensive, non-integrable, or lack sensors. In the current work, a lowcost fully integrated smart insole is introduced. The design integrates Force Sensing Resistors (FSRs), a 9-DOF IMU, Bluetooth Low Energy (BLE), and wireless charging. The system can transmit in real-time at 100Hz for more than 6 hours with a 40 mAh battery. It can accurately identify walking and running patterns with great synchronization between the left and right foot.",

keywords = "force sensitive resistor, gait, inertial measurement unit, smart insoles, wearable",

author = "Nikos Antoniou and Antonis Hadjiantonis and Costas Kyriacou and Andreas Konstantinidis",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE SENSORS, SENSORS 2023 ; Conference date: 29-10-2023 Through 01-11-2023",

year = "2023",

doi = "10.1109/SENSORS56945.2023.10325292",

language = "English",

series = "Proceedings of IEEE Sensors",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2023 IEEE SENSORS, SENSORS 2023 - Conference Proceedings",

}

Antoniou, N, Hadjiantonis, A, Kyriacou, C & Konstantinidis, A 2023, A Cost Effective Smart Insole System for Real Time Gait Analysis. in 2023 IEEE SENSORS, SENSORS 2023 - Conference Proceedings. Proceedings of IEEE Sensors, Institute of Electrical and Electronics Engineers Inc., 2023 IEEE SENSORS, SENSORS 2023, Vienna, Austria, 29/10/23. https://doi.org/10.1109/SENSORS56945.2023.10325292

A Cost Effective Smart Insole System for Real Time Gait Analysis. / Antoniou, Nikos; Hadjiantonis, Antonis; Kyriacou, Costas et al.
2023 IEEE SENSORS, SENSORS 2023 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., 2023. (Proceedings of IEEE Sensors).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A Cost Effective Smart Insole System for Real Time Gait Analysis

AU - Antoniou, Nikos

AU - Hadjiantonis, Antonis

AU - Kyriacou, Costas

AU - Konstantinidis, Andreas

PY - 2023

Y1 - 2023

N2 - Smart insoles have great potential as they offer real-time monitoring, analysis, and feedback for foot biomechanics, aiding in injury prevention and athletic performance improvement. Although off-the-shelf smart insoles exists, and solutions have been proposed, they are either very expensive, non-integrable, or lack sensors. In the current work, a lowcost fully integrated smart insole is introduced. The design integrates Force Sensing Resistors (FSRs), a 9-DOF IMU, Bluetooth Low Energy (BLE), and wireless charging. The system can transmit in real-time at 100Hz for more than 6 hours with a 40 mAh battery. It can accurately identify walking and running patterns with great synchronization between the left and right foot.

AB - Smart insoles have great potential as they offer real-time monitoring, analysis, and feedback for foot biomechanics, aiding in injury prevention and athletic performance improvement. Although off-the-shelf smart insoles exists, and solutions have been proposed, they are either very expensive, non-integrable, or lack sensors. In the current work, a lowcost fully integrated smart insole is introduced. The design integrates Force Sensing Resistors (FSRs), a 9-DOF IMU, Bluetooth Low Energy (BLE), and wireless charging. The system can transmit in real-time at 100Hz for more than 6 hours with a 40 mAh battery. It can accurately identify walking and running patterns with great synchronization between the left and right foot.

KW - force sensitive resistor

KW - gait

KW - inertial measurement unit

KW - smart insoles

KW - wearable

UR - https://www.scopus.com/pages/publications/85179765433

U2 - 10.1109/SENSORS56945.2023.10325292

DO - 10.1109/SENSORS56945.2023.10325292

M3 - Conference contribution

AN - SCOPUS:85179765433

T3 - Proceedings of IEEE Sensors

BT - 2023 IEEE SENSORS, SENSORS 2023 - Conference Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2023 IEEE SENSORS, SENSORS 2023

Y2 - 29 October 2023 through 1 November 2023

ER -

A Cost Effective Smart Insole System for Real Time Gait Analysis

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Keywords

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