Effects of sensor types and angular velocity computational methods in field measurements of occupational upper arm and trunk postures and movements
Artikel i vetenskaplig tidskrift, 2021

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.

Sensor fusion

Ergonomics

Inertial measurement unit

Field measurement

Threshold limit value

Biomechanics

Workload

Musculoskeletal disorders

Accelerometer

Kinematics

Författare

Xuelong Fan

Karolinska Institutet

Carl Mikael Lind

Kungliga Tekniska Högskolan (KTH)

Karolinska Institutet

Ida-Märta Rhen

Stockholms läns landsting

Karolinska Institutet

Chalmers, Industri- och materialvetenskap, Produktionssystem

Mikael Forsman

Stockholms läns landsting

Karolinska Institutet

Kungliga Tekniska Högskolan (KTH)

Sensors

1424-8220 (ISSN) 1424-3210 (eISSN)

Vol. 21 16 5527

Ämneskategorier

Medicinsk laboratorie- och mätteknik

Annan medicinteknik

Geofysik

DOI

10.3390/s21165527

PubMed

34450967

Mer information

Senast uppdaterat

2021-08-27