Effects of sensor types and angular velocity computational methods in field measurements of occupational upper arm and trunk postures and movements

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Fältnamn	Indikatorer	Metadata
000		05187naa a2200637 4500
001		oai:research.chalmers.se:ce7d0b13-7ce3-4897-9427-228f7800751d
003		SwePub
008		210822s2021 \| \|\|\|\|\|\|\|\|\|\|\|000 \|\|eng\|
009		oai:DiVA.org:kth-302033
009		oai:prod.swepub.kib.ki.se:147465975
024	7	a https://research.chalmers.se/publication/5255952 URI
024	7	a https://doi.org/10.3390/s211655272 DOI
024	7	a https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-3020332 URI
024	7	a http://kipublications.ki.se/Default.aspx?queryparsed=id:1474659752 URI
040		a (SwePub)cthd (SwePub)kthd (SwePub)ki
041		a engb eng
042		9 SwePub
072	7	a art2 swepub-publicationtype
072	7	a ref2 swepub-contenttype
100	1	a Fan, Xuelongu Karolinska Institutet4 aut
245	1 0	a Effects of sensor types and angular velocity computational methods in field measurements of occupational upper arm and trunk postures and movements
264		c 2021-08-17
264	1	b MDPI AG,c 2021
338		a electronic2 rdacarrier
500		a QC 20210920
520		a 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—and using two angular velocity computational methods, i.e., inclination velocity versus generalized velocity. The results showed an overall small difference (<2° 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°/s (generalized velocity) and 33°/s (inclination velocity)—and for accelerometers with gyroscopes: 31°/s (generalized velocity) and 16°/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.
650	7	a TEKNIK OCH TEKNOLOGIERx Medicinteknikx Medicinsk laboratorie- och mätteknik0 (SwePub)206012 hsv//swe
650	7	a ENGINEERING AND TECHNOLOGYx Medical Engineeringx Medical Laboratory and Measurements Technologies0 (SwePub)206012 hsv//eng
650	7	a TEKNIK OCH TEKNOLOGIERx Medicinteknikx Annan medicinteknik0 (SwePub)206992 hsv//swe
650	7	a ENGINEERING AND TECHNOLOGYx Medical Engineeringx Other Medical Engineering0 (SwePub)206992 hsv//eng
650	7	a NATURVETENSKAPx Geovetenskap och miljövetenskapx Geofysik0 (SwePub)105052 hsv//swe
650	7	a NATURAL SCIENCESx Earth and Related Environmental Sciencesx Geophysics0 (SwePub)105052 hsv//eng
650	7	a MEDICIN OCH HÄLSOVETENSKAPx Hälsovetenskapx Arbetsmedicin och miljömedicin0 (SwePub)303032 hsv//swe
650	7	a MEDICAL AND HEALTH SCIENCESx Health Sciencesx Occupational Health and Environmental Health0 (SwePub)303032 hsv//eng
653		a Sensor fusion
653		a Ergonomics
653		a Inertial measurement unit
653		a Field measurement
653		a Threshold limit value
653		a Biomechanics
653		a Workload
653		a Musculoskeletal disorders
653		a Accelerometer
653		a Kinematics
700	1	a Lind, Carl Mikaelu KTH,Ergonomi,Karolinska Inst, IMM Inst Environm Med, SE-17177 Stockholm, Sweden.,Kungliga Tekniska Högskolan (KTH),Royal Institute of Technology (KTH),Karolinska Institutet4 aut0 (Swepub:kth)u11nlmnx
700	1	a Rhen, Ida-Märta,d 1975u Karolinska Institutet4 aut0 (Swepub:cth)idamarta
700	1	a Forsman, Mikael,c Professoru KTH,Ergonomi,Karolinska Inst, IMM Inst Environm Med, SE-17177 Stockholm, Sweden.,Stockholms läns landsting,Stockholm County Council,Karolinska Institutet,Kungliga Tekniska Högskolan (KTH),Royal Institute of Technology (KTH)4 aut0 (Swepub:kth)u1iq0ct2
710	2	a Karolinska Institutetb Ergonomi4 org
773	0	t Sensorsd : MDPI AGg 21:16q 21:16x 1424-8220
856	4	u https://research.chalmers.se/publication/525595/file/525595_Fulltext.pdfx primaryx freey FULLTEXT
856	4	u https://www.mdpi.com/1424-8220/21/16/5527/pdf
856	4	u https://doi.org/10.3390/s21165527y Fulltext
856	4 8	u https://research.chalmers.se/publication/525595
856	4 8	u https://doi.org/10.3390/s21165527
856	4 8	u https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-302033
856	4 8	u http://kipublications.ki.se/Default.aspx?queryparsed=id:147465975

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