{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,25]],"date-time":"2026-04-25T05:56:18Z","timestamp":1777096578247,"version":"3.51.4"},"reference-count":120,"publisher":"MDPI AG","issue":"16","license":[{"start":{"date-parts":[[2021,8,17]],"date-time":"2021-08-17T00:00:00Z","timestamp":1629158400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100002706","name":"AFA F\u00f6rs\u00e4kring","doi-asserted-by":"publisher","award":["180098"],"award-info":[{"award-number":["180098"]}],"id":[{"id":"10.13039\/501100002706","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002706","name":"AFA F\u00f6rs\u00e4kring","doi-asserted-by":"publisher","award":["180254"],"award-info":[{"award-number":["180254"]}],"id":[{"id":"10.13039\/501100002706","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004543","name":"China Scholarship Council","doi-asserted-by":"publisher","award":["201600160060"],"award-info":[{"award-number":["201600160060"]}],"id":[{"id":"10.13039\/501100004543","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Accelerometer-based inclinometers have dominated kinematic measurements in previous field studies, while the use of inertial measurement units that additionally include gyroscopes is rapidly increasing. Recent laboratory studies suggest that these two sensor types and the two commonly used angular velocity computational methods may produce substantially different results. The aim of this study was, therefore, to evaluate the effects of sensor types and angular velocity computational methods on the measures of work postures and movements in a real occupational setting. Half-workday recordings of arm and trunk postures, and movements from 38 warehouse workers were compared using two sensor types: accelerometers versus accelerometers with gyroscopes\u2014and using two angular velocity computational methods, i.e., inclination velocity versus generalized velocity. The results showed an overall small difference (&lt;2\u00b0 and value independent) for posture percentiles between the two sensor types, but substantial differences in movement percentiles both between the sensor types and between the angular computational methods. For example, the group mean of the 50th percentiles were for accelerometers: 71\u00b0\/s (generalized velocity) and 33\u00b0\/s (inclination velocity)\u2014and for accelerometers with gyroscopes: 31\u00b0\/s (generalized velocity) and 16\u00b0\/s (inclination velocity). The significant effects of sensor types and angular computational methods on angular velocity measures in field work are important in inter-study comparisons and in comparisons to recommended threshold limit values.<\/jats:p>","DOI":"10.3390\/s21165527","type":"journal-article","created":{"date-parts":[[2021,8,17]],"date-time":"2021-08-17T21:17:06Z","timestamp":1629235026000},"page":"5527","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":23,"title":["Effects of Sensor Types and Angular Velocity Computational Methods in Field Measurements of Occupational Upper Arm and Trunk Postures and Movements"],"prefix":"10.3390","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4145-5717","authenticated-orcid":false,"given":"Xuelong","family":"Fan","sequence":"first","affiliation":[{"name":"IMM Institute of Environmental Medicine, Karolinska Institutet, SE-171 77 Stockholm, Sweden"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5979-5504","authenticated-orcid":false,"given":"Carl Mikael","family":"Lind","sequence":"additional","affiliation":[{"name":"IMM Institute of Environmental Medicine, Karolinska Institutet, SE-171 77 Stockholm, Sweden"},{"name":"Division of Ergonomics, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, H\u00e4lsov\u00e4gen 11C, SE-141 57 Huddinge, Sweden"}]},{"given":"Ida-M\u00e4rta","family":"Rhen","sequence":"additional","affiliation":[{"name":"IMM Institute of Environmental Medicine, Karolinska Institutet, SE-171 77 Stockholm, Sweden"},{"name":"Centre for Occupational and Environmental Medicine, Stockholm County Council, SE-113 65 Stockholm, Sweden"},{"name":"Department of Industrial and Materials Science, Chalmers University of Technology, SE-412 96 Gothenburg, Sweden"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5777-4232","authenticated-orcid":false,"given":"Mikael","family":"Forsman","sequence":"additional","affiliation":[{"name":"IMM Institute of Environmental Medicine, Karolinska Institutet, SE-171 77 Stockholm, Sweden"},{"name":"Division of Ergonomics, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, H\u00e4lsov\u00e4gen 11C, SE-141 57 Huddinge, Sweden"},{"name":"Centre for Occupational and Environmental Medicine, Stockholm County Council, SE-113 65 Stockholm, Sweden"}]}],"member":"1968","published-online":{"date-parts":[[2021,8,17]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1859","DOI":"10.1016\/S0140-6736(18)32335-3","article-title":"Global, regional, and national disability-adjusted life-years (DALYs) for 359 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990\u20132017: A systematic analysis for the Global Burden of Disease Study 2017","volume":"392","author":"Murray","year":"2018","journal-title":"Lancet"},{"key":"ref_2","unstructured":"Tompa, E., Mofidi, A., van den Heuvel, S., van Bree, T., Michaelsen, F., Jung, Y., Porsch, L., and van Emmerik, M. 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