Classification of Lifts Using a Smart Insole

Christian R. H. Kjaer; Christopher B. Henriksen; Stanley C. Nwabuona; Martin N. Petersen; Sarah Ruepp

doi:10.1109/SmartNets55823.2022.9994018

Classification of Lifts Using a Smart Insole

Christian R. H. Kjaer, Christopher B. Henriksen, Stanley C. Nwabuona, Martin N. Petersen, Sarah Ruepp

Technical University of Denmark

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

Abstract

Smart Insoles are in-shoe measurement systems primarily designed to measure forces, exerted by the ground on a human body, as a result of gait. In this paper, we test the applicability of force measurements from a smart insole, in enforcing good lifting ergonomics for manual material handling. This was achieved by classifying a lift as either good or bad using DTW (Dynamic time warping), a popular algorithm for speech recognition. Our experiments have revealed that lift classifications using this technique is 98.8% accurate with 30 seconds of computation time.

Original language	English
Title of host publication	Proceedings of 2022 International Conference on Smart Applications, Communications and Networking
Publisher	IEEE
Publication date	2022
Pages	1-6
ISBN (Print)	978-1-6654-8759-7
DOIs	https://doi.org/10.1109/SmartNets55823.2022.9994018
Publication status	Published - 2022
Event	2022 IEEE International Conference on Smart Applications, Communications and Networking - Palapye , Botswana Duration: 29 Nov 2022 → 1 Dec 2022

Conference

Conference	2022 IEEE International Conference on Smart Applications, Communications and Networking
Country/Territory	Botswana
City	Palapye
Period	29/11/2022 → 01/12/2022

Keywords

Smart Insoles
Dynamic Time Warping
Force Sensitive Resistors

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10.1109/SmartNets55823.2022.9994018

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title = "Classification of Lifts Using a Smart Insole",

abstract = "Smart Insoles are in-shoe measurement systems primarily designed to measure forces, exerted by the ground on a human body, as a result of gait. In this paper, we test the applicability of force measurements from a smart insole, in enforcing good lifting ergonomics for manual material handling. This was achieved by classifying a lift as either good or bad using DTW (Dynamic time warping), a popular algorithm for speech recognition. Our experiments have revealed that lift classifications using this technique is 98.8% accurate with 30 seconds of computation time.",

keywords = "Smart Insoles, Dynamic Time Warping, Force Sensitive Resistors",

author = "Kjaer, {Christian R. H.} and Henriksen, {Christopher B.} and Nwabuona, {Stanley C.} and Petersen, {Martin N.} and Sarah Ruepp",

year = "2022",

doi = "10.1109/SmartNets55823.2022.9994018",

language = "English",

isbn = "978-1-6654-8759-7",

pages = "1--6",

booktitle = "Proceedings of 2022 International Conference on Smart Applications, Communications and Networking",

publisher = "IEEE",

address = "United States",

note = "2022 IEEE International Conference on Smart Applications, Communications and Networking, IEEE SmartNets 2022 ; Conference date: 29-11-2022 Through 01-12-2022",

}

Kjaer, CRH, Henriksen, CB, Nwabuona, SC , Petersen, MN & Ruepp, S 2022, Classification of Lifts Using a Smart Insole. in Proceedings of 2022 International Conference on Smart Applications, Communications and Networking. IEEE, pp. 1-6, 2022 IEEE International Conference on Smart Applications, Communications and Networking, Palapye , Botswana, 29/11/2022. https://doi.org/10.1109/SmartNets55823.2022.9994018

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T1 - Classification of Lifts Using a Smart Insole

AU - Kjaer, Christian R. H.

AU - Henriksen, Christopher B.

AU - Nwabuona, Stanley C.

AU - Petersen, Martin N.

AU - Ruepp, Sarah

PY - 2022

Y1 - 2022

N2 - Smart Insoles are in-shoe measurement systems primarily designed to measure forces, exerted by the ground on a human body, as a result of gait. In this paper, we test the applicability of force measurements from a smart insole, in enforcing good lifting ergonomics for manual material handling. This was achieved by classifying a lift as either good or bad using DTW (Dynamic time warping), a popular algorithm for speech recognition. Our experiments have revealed that lift classifications using this technique is 98.8% accurate with 30 seconds of computation time.

AB - Smart Insoles are in-shoe measurement systems primarily designed to measure forces, exerted by the ground on a human body, as a result of gait. In this paper, we test the applicability of force measurements from a smart insole, in enforcing good lifting ergonomics for manual material handling. This was achieved by classifying a lift as either good or bad using DTW (Dynamic time warping), a popular algorithm for speech recognition. Our experiments have revealed that lift classifications using this technique is 98.8% accurate with 30 seconds of computation time.

KW - Smart Insoles

KW - Dynamic Time Warping

KW - Force Sensitive Resistors

U2 - 10.1109/SmartNets55823.2022.9994018

DO - 10.1109/SmartNets55823.2022.9994018

M3 - Article in proceedings

SN - 978-1-6654-8759-7

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EP - 6

BT - Proceedings of 2022 International Conference on Smart Applications, Communications and Networking

PB - IEEE

T2 - 2022 IEEE International Conference on Smart Applications, Communications and Networking

Y2 - 29 November 2022 through 1 December 2022

ER -

Classification of Lifts Using a Smart Insole

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