Analysis of ergonomic and unergonomic human lifting behaviors by using Inertial Measurement Units

This paper presents an analysis of two distinct human lifting movements regarding acceleration and angular velocity. For the first movement, the ergonomic one, the test persons produced the lifting power by squatting down, bending at the hips and knees only. Whereas performing the unergonomic one th...

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Main Authors: Kuschan Jan, Schmidt Henning, Krüger Jörg
Format: Article
Language:English
Published: De Gruyter 2017-03-01
Series:Current Directions in Biomedical Engineering
Subjects:
Online Access:https://doi.org/10.1515/cdbme-2017-0002
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spelling doaj-c699aefbfd1446adbcc228ec027855492021-09-06T19:19:24ZengDe GruyterCurrent Directions in Biomedical Engineering2364-55042017-03-013171010.1515/cdbme-2017-0002cdbme-2017-0002Analysis of ergonomic and unergonomic human lifting behaviors by using Inertial Measurement UnitsKuschan Jan0Schmidt Henning1Krüger Jörg2Fraunhofer IPK Pascalstr. 8-9, 10587 Berlin, GermanyFraunhofer IPK Pascalstr. 8-9, 10587 Berlin, GermanyFraunhofer IPK Pascalstr. 8-9, 10587 Berlin, GermanyThis paper presents an analysis of two distinct human lifting movements regarding acceleration and angular velocity. For the first movement, the ergonomic one, the test persons produced the lifting power by squatting down, bending at the hips and knees only. Whereas performing the unergonomic one they bent forward lifting the box mainly with their backs. The measurements were taken by using a vest equipped with five Inertial Measurement Units (IMU) with 9 Dimensions of Freedom (DOF) each. In the following the IMU data captured for these two movements will be evaluated using statistics and visualized. It will also be discussed with respect to their suitability as features for further machine learning classifications. The reason for observing these movements is that occupational diseases of the musculoskeletal system lead to a reduction of the workers’ quality of life and extra costs for companies. Therefore, a vest, called CareJack, was designed to give the worker a real-time feedback about his ergonomic state while working. The CareJack is an approach to reduce the risk of spinal and back diseases. This paper will also present the idea behind it as well as its main components.https://doi.org/10.1515/cdbme-2017-0002action recognitionbiosignalsergonomicsfeature engineeringinertial measurement unit
collection DOAJ
language English
format Article
sources DOAJ
author Kuschan Jan
Schmidt Henning
Krüger Jörg
spellingShingle Kuschan Jan
Schmidt Henning
Krüger Jörg
Analysis of ergonomic and unergonomic human lifting behaviors by using Inertial Measurement Units
Current Directions in Biomedical Engineering
action recognition
biosignals
ergonomics
feature engineering
inertial measurement unit
author_facet Kuschan Jan
Schmidt Henning
Krüger Jörg
author_sort Kuschan Jan
title Analysis of ergonomic and unergonomic human lifting behaviors by using Inertial Measurement Units
title_short Analysis of ergonomic and unergonomic human lifting behaviors by using Inertial Measurement Units
title_full Analysis of ergonomic and unergonomic human lifting behaviors by using Inertial Measurement Units
title_fullStr Analysis of ergonomic and unergonomic human lifting behaviors by using Inertial Measurement Units
title_full_unstemmed Analysis of ergonomic and unergonomic human lifting behaviors by using Inertial Measurement Units
title_sort analysis of ergonomic and unergonomic human lifting behaviors by using inertial measurement units
publisher De Gruyter
series Current Directions in Biomedical Engineering
issn 2364-5504
publishDate 2017-03-01
description This paper presents an analysis of two distinct human lifting movements regarding acceleration and angular velocity. For the first movement, the ergonomic one, the test persons produced the lifting power by squatting down, bending at the hips and knees only. Whereas performing the unergonomic one they bent forward lifting the box mainly with their backs. The measurements were taken by using a vest equipped with five Inertial Measurement Units (IMU) with 9 Dimensions of Freedom (DOF) each. In the following the IMU data captured for these two movements will be evaluated using statistics and visualized. It will also be discussed with respect to their suitability as features for further machine learning classifications. The reason for observing these movements is that occupational diseases of the musculoskeletal system lead to a reduction of the workers’ quality of life and extra costs for companies. Therefore, a vest, called CareJack, was designed to give the worker a real-time feedback about his ergonomic state while working. The CareJack is an approach to reduce the risk of spinal and back diseases. This paper will also present the idea behind it as well as its main components.
topic action recognition
biosignals
ergonomics
feature engineering
inertial measurement unit
url https://doi.org/10.1515/cdbme-2017-0002
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