Using Kinect™ sensor in observational methods for assessing postures at work
This paper examines the potential use of Kinect™ range sensor in observational methods for assessing postural loads. Range sensors can detect the position of the joints at high sampling rates without attaching sensors or markers directly to the subject under study. First, a computerized OWAS ergonom...
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Veröffentlicht in: | Applied ergonomics 2014-07, Vol.45 (4), p.976-985 |
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description | This paper examines the potential use of Kinect™ range sensor in observational methods for assessing postural loads. Range sensors can detect the position of the joints at high sampling rates without attaching sensors or markers directly to the subject under study. First, a computerized OWAS ergonomic assessment system was implemented to permit the data acquisition from Kinect™ and data processing in order to identify the risk level of each recorded postures. Output data were compared with the results provided by human observers, and were used to determine the influence of the sensor view angle relative to the worker. The tests show high inter-method agreement in the classification of risk categories (Proportion agreement index = 0.89 κ = 0.83) when the tracked subject is facing the sensor. The camera's point of view relative to the position of the tracked subject significantly affects the correct classification of the postures. Although the results are promising, some aspects involved in the use of low-cost range sensors should be further studied for their use in real environments.
•This paper examines the potential use of Kinect™ range sensors in observational methods for assessing postural loads.•The results obtained by human observers are compared with those obtained by the sensor.•The influence of the position of the sensor with respect to the tracked user is analyzed.•High agreement exists between human observers and the sensor when the tracked subject stands facing the sensor.•The orientation of the sensor with respect to the worker affects the sensor's ability to identify the body positions. |
doi_str_mv | 10.1016/j.apergo.2013.12.001 |
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•This paper examines the potential use of Kinect™ range sensors in observational methods for assessing postural loads.•The results obtained by human observers are compared with those obtained by the sensor.•The influence of the position of the sensor with respect to the tracked user is analyzed.•High agreement exists between human observers and the sensor when the tracked subject stands facing the sensor.•The orientation of the sensor with respect to the worker affects the sensor's ability to identify the body positions.</description><identifier>ISSN: 0003-6870</identifier><identifier>EISSN: 1872-9126</identifier><identifier>DOI: 10.1016/j.apergo.2013.12.001</identifier><identifier>PMID: 24370268</identifier><identifier>CODEN: AERGBW</identifier><language>eng</language><publisher>Kidlington: Elsevier Ltd</publisher><subject>Applied physiology ; Biological and medical sciences ; Comparative analysis ; Ergonomics ; Ergonomics - instrumentation ; Ergonomics - methods ; Ergonomics. Human factors ; Ergonomics. Work place. Occupational physiology ; Fundamental and applied biological sciences. Psychology ; Human physiology applied to population studies and life conditions. Human ecophysiology ; Humans ; Kinect ; Medical sciences ; Movement - physiology ; Occupational psychology ; OWAS ; Posture ; Posture - physiology ; Psychology. Psychoanalysis. Psychiatry ; Psychology. Psychophysiology ; Risk assessment ; Sampling ; Sensors ; Weight-Bearing - physiology ; Workplace</subject><ispartof>Applied ergonomics, 2014-07, Vol.45 (4), p.976-985</ispartof><rights>2013 Elsevier Ltd and The Ergonomics Society</rights><rights>2015 INIST-CNRS</rights><rights>Copyright © 2013 Elsevier Ltd and The Ergonomics Society. All rights reserved.</rights><rights>Copyright Elsevier Science Ltd. Jul 2014</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c519t-9cff305e8f05a44ac5ad6c5b2f161d3c5d551e265b806801c75b4528afc859443</citedby><cites>FETCH-LOGICAL-c519t-9cff305e8f05a44ac5ad6c5b2f161d3c5d551e265b806801c75b4528afc859443</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0003687013002676$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=28395086$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24370268$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Diego-Mas, Jose Antonio</creatorcontrib><creatorcontrib>Alcaide-Marzal, Jorge</creatorcontrib><title>Using Kinect™ sensor in observational methods for assessing postures at work</title><title>Applied ergonomics</title><addtitle>Appl Ergon</addtitle><description>This paper examines the potential use of Kinect™ range sensor in observational methods for assessing postural loads. Range sensors can detect the position of the joints at high sampling rates without attaching sensors or markers directly to the subject under study. First, a computerized OWAS ergonomic assessment system was implemented to permit the data acquisition from Kinect™ and data processing in order to identify the risk level of each recorded postures. Output data were compared with the results provided by human observers, and were used to determine the influence of the sensor view angle relative to the worker. The tests show high inter-method agreement in the classification of risk categories (Proportion agreement index = 0.89 κ = 0.83) when the tracked subject is facing the sensor. The camera's point of view relative to the position of the tracked subject significantly affects the correct classification of the postures. Although the results are promising, some aspects involved in the use of low-cost range sensors should be further studied for their use in real environments.
•This paper examines the potential use of Kinect™ range sensors in observational methods for assessing postural loads.•The results obtained by human observers are compared with those obtained by the sensor.•The influence of the position of the sensor with respect to the tracked user is analyzed.•High agreement exists between human observers and the sensor when the tracked subject stands facing the sensor.•The orientation of the sensor with respect to the worker affects the sensor's ability to identify the body positions.</description><subject>Applied physiology</subject><subject>Biological and medical sciences</subject><subject>Comparative analysis</subject><subject>Ergonomics</subject><subject>Ergonomics - instrumentation</subject><subject>Ergonomics - methods</subject><subject>Ergonomics. Human factors</subject><subject>Ergonomics. Work place. Occupational physiology</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Human physiology applied to population studies and life conditions. Human ecophysiology</subject><subject>Humans</subject><subject>Kinect</subject><subject>Medical sciences</subject><subject>Movement - physiology</subject><subject>Occupational psychology</subject><subject>OWAS</subject><subject>Posture</subject><subject>Posture - physiology</subject><subject>Psychology. Psychoanalysis. Psychiatry</subject><subject>Psychology. Psychophysiology</subject><subject>Risk assessment</subject><subject>Sampling</subject><subject>Sensors</subject><subject>Weight-Bearing - physiology</subject><subject>Workplace</subject><issn>0003-6870</issn><issn>1872-9126</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqN0cFu1DAQBmALgehSeAOEIiGkXhI8ju04FyRUUUCtyoWeLceZFC_ZePEkRdx5Eh6NJ8HLbqnEAXGyLH__yPbP2FPgFXDQL9eV22K6jpXgUFcgKs7hHluBaUTZgtD32YpzXpfaNPyIPSJa562RoB6yIyHrhgttVuzyisJ0XZyHCf388_uPgnCimIowFbEjTDduDnFyY7HB-VPsqRjyoSNC-p3bRpqXhFS4ufga0-fH7MHgRsInh_WYXZ29-Xj6rrz48Pb96euL0ito57L1w1BzhWbgyknpvHK99qoTA2joa696pQCFVp3h2nDwjeqkEsYN3qhWyvqYneznblP8siDNdhPI4zi6CeNCFpTkohZCNf9BoRVKA9_R53_RdVxSfv1OCS4FCKmyknvlUyRKONhtChuXvlngdleNXdt9NXZXjQVhczU59uwwfOk22P8J3XaRwYsDcOTdOCQ3-UB3ztSt4kZn92rvMH_wTcBkyQecPPYh5RJtH8O_b_IL11Otqw</recordid><startdate>20140701</startdate><enddate>20140701</enddate><creator>Diego-Mas, Jose Antonio</creator><creator>Alcaide-Marzal, Jorge</creator><general>Elsevier Ltd</general><general>Elsevier</general><general>Elsevier Science Ltd</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7T2</scope><scope>C1K</scope><scope>7X8</scope><scope>7U1</scope><scope>7U2</scope></search><sort><creationdate>20140701</creationdate><title>Using Kinect™ sensor in observational methods for assessing postures at work</title><author>Diego-Mas, Jose Antonio ; Alcaide-Marzal, Jorge</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c519t-9cff305e8f05a44ac5ad6c5b2f161d3c5d551e265b806801c75b4528afc859443</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Applied physiology</topic><topic>Biological and medical sciences</topic><topic>Comparative analysis</topic><topic>Ergonomics</topic><topic>Ergonomics - instrumentation</topic><topic>Ergonomics - methods</topic><topic>Ergonomics. Human factors</topic><topic>Ergonomics. Work place. Occupational physiology</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Human physiology applied to population studies and life conditions. Human ecophysiology</topic><topic>Humans</topic><topic>Kinect</topic><topic>Medical sciences</topic><topic>Movement - physiology</topic><topic>Occupational psychology</topic><topic>OWAS</topic><topic>Posture</topic><topic>Posture - physiology</topic><topic>Psychology. Psychoanalysis. Psychiatry</topic><topic>Psychology. Psychophysiology</topic><topic>Risk assessment</topic><topic>Sampling</topic><topic>Sensors</topic><topic>Weight-Bearing - physiology</topic><topic>Workplace</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Diego-Mas, Jose Antonio</creatorcontrib><creatorcontrib>Alcaide-Marzal, Jorge</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Environmental Sciences and Pollution Management</collection><collection>MEDLINE - Academic</collection><collection>Risk Abstracts</collection><collection>Safety Science and Risk</collection><jtitle>Applied ergonomics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Diego-Mas, Jose Antonio</au><au>Alcaide-Marzal, Jorge</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Using Kinect™ sensor in observational methods for assessing postures at work</atitle><jtitle>Applied ergonomics</jtitle><addtitle>Appl Ergon</addtitle><date>2014-07-01</date><risdate>2014</risdate><volume>45</volume><issue>4</issue><spage>976</spage><epage>985</epage><pages>976-985</pages><issn>0003-6870</issn><eissn>1872-9126</eissn><coden>AERGBW</coden><abstract>This paper examines the potential use of Kinect™ range sensor in observational methods for assessing postural loads. Range sensors can detect the position of the joints at high sampling rates without attaching sensors or markers directly to the subject under study. First, a computerized OWAS ergonomic assessment system was implemented to permit the data acquisition from Kinect™ and data processing in order to identify the risk level of each recorded postures. Output data were compared with the results provided by human observers, and were used to determine the influence of the sensor view angle relative to the worker. The tests show high inter-method agreement in the classification of risk categories (Proportion agreement index = 0.89 κ = 0.83) when the tracked subject is facing the sensor. The camera's point of view relative to the position of the tracked subject significantly affects the correct classification of the postures. Although the results are promising, some aspects involved in the use of low-cost range sensors should be further studied for their use in real environments.
•This paper examines the potential use of Kinect™ range sensors in observational methods for assessing postural loads.•The results obtained by human observers are compared with those obtained by the sensor.•The influence of the position of the sensor with respect to the tracked user is analyzed.•High agreement exists between human observers and the sensor when the tracked subject stands facing the sensor.•The orientation of the sensor with respect to the worker affects the sensor's ability to identify the body positions.</abstract><cop>Kidlington</cop><pub>Elsevier Ltd</pub><pmid>24370268</pmid><doi>10.1016/j.apergo.2013.12.001</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Applied physiology Biological and medical sciences Comparative analysis Ergonomics Ergonomics - instrumentation Ergonomics - methods Ergonomics. Human factors Ergonomics. Work place. Occupational physiology Fundamental and applied biological sciences. Psychology Human physiology applied to population studies and life conditions. Human ecophysiology Humans Kinect Medical sciences Movement - physiology Occupational psychology OWAS Posture Posture - physiology Psychology. Psychoanalysis. Psychiatry Psychology. Psychophysiology Risk assessment Sampling Sensors Weight-Bearing - physiology Workplace |
title | Using Kinect™ sensor in observational methods for assessing postures at work |
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