In-field instrumented ergonomic risk assessment: Inertial measurement units versus Kinect V2

Humadi, Ahmed; Nazarahari, Milad; Ahmad, Rafiq; Rouhani, Hossein

doi:10.1016/j.ergon.2021.103147

Cited by 40 publications

(42 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Both motion capture systems have their advantages and disadvantages based on the purpose of their use. Humadi et al [42] determined the reliability and accuracy of non-optical and optical motion capture technologies using a wearable technology and a markerless optical technology, respectively, for different manual materials handling tasks. The study reported that the non-optical motion capture technology is more suitable than markerless optical technology in ergonomics risk assessment.…”

Section: Motion Capture Simulationmentioning

confidence: 99%

Implementation of Kinetic and Kinematic Variables in Ergonomic Risk Assessment Using Motion Capture Simulation: A Review

Yunus

Jaafar

Mohamed

et al. 2021

IJERPH

View full text Add to dashboard Cite

Work-related musculoskeletal disorders (WMSDs) are among the most common disorders in any work sector and industry. Ergonomic risk assessment can reduce the risk of WMSDs. Motion capture that can provide accurate and real-time quantitative data has been widely used as a tool for ergonomic risk assessment. However, most ergonomic risk assessments that use motion capture still depend on the traditional ergonomic risk assessment method, focusing on qualitative data. Therefore, this article aims to provide a view on the ergonomic risk assessment and apply current motion capture technology to understand classical mechanics of physics that include velocity, acceleration, force, and momentum in ergonomic risk assessment. This review suggests that using motion capture technologies with kinetic and kinematic variables, such as velocity, acceleration, and force, can help avoid inconsistency and develop more reliable results in ergonomic risk assessment. Most studies related to the physical measurement conducted with motion capture prefer to use non-optical motion capture because it is a low-cost system and simple experimental setup. However, the present review reveals that optical motion capture can provide more accurate data.

show abstract

Section: Motion Capture Simulationmentioning

confidence: 99%

Implementation of Kinetic and Kinematic Variables in Ergonomic Risk Assessment Using Motion Capture Simulation: A Review

Yunus

Jaafar

Mohamed

et al. 2021

IJERPH

View full text Add to dashboard Cite

show abstract

“…However, some limitations were detected due to object occlusion and human occlusion during the performance of work tasks. The IMU technology applied in the current study overcame these limitations [13].…”

Section: Rula Reportmentioning

confidence: 99%

“…The Rapid Upper Limb Assessment (RULA) [9] is one of the most popular ergonomic assessment methods applied in the manufacturing industry [10][11][12]. However, RULA results based on external analyst observations are relatively subjective and suffer low repeatability [13]. The process of automating this assessment has received high research interest.…”

Section: Introductionmentioning

confidence: 99%

“…Regarding in-field instrumented ergonomic risk assessment, human-occlusion and object-occlusion cause inconsistency in the data collected by motion cameras. For this reason, wearable inertial motion units (IMU) have been deemed more suitable in real-industry environments [13]. This technology consists of lightweight devices and allows the direct measurement of angular variation during performance tasks [4].…”

Section: Introductionmentioning

confidence: 99%

“…Over the past decade, inertial motion capture has been used in a wide range of applications [17] and appears to have many advantages over previous measurement systems in terms of flexibility and ensuring real-time human motion analysis. It does not interfere with the body's movements by being completely non-invasive [17,18] and immune to occlusion, signal blocking, or label confusion [13,18]; it can also adapt to any environment, indoor and outdoor. Moreover, its reliability and feasibility for assessing human movement are recognized and designed for intuitive use [15].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Digitalization of Musculoskeletal Risk Assessment in a Robotic-Assisted Assembly Workstation

Colim

Cardoso

Arezes

et al. 2021

Safety

View full text Add to dashboard Cite

The ergonomic assessment of adopted working postures is essential for avoiding musculoskeletal risk factors in manufacturing contexts. Several observational methods based on external analyst observations are available; however, they are relatively subjective and suffer low repeatability. Over the past decade, the digitalization of this assessment has received high research interest. Robotic applications have the potential to lighten workers’ workload and improve working conditions. Therefore, this work presents a musculoskeletal risk assessment before and after robotic implementation in an assembly workstation. We also emphasize the importance of using novel and non-intrusive technologies for musculoskeletal risk assessment. A kinematic study was conducted using inertial motion units (IMU) in a convenience sample of two workers during their normal performance of assembly work cycles. The musculoskeletal risk was estimated according to a semi-automated solution, called the Rapid Upper Limb Assessment (RULA) report. Based on previous musculoskeletal problems reported by the company, the assessment centered on the kinematic analysis of functional wrist movements (flexion/extension, ulnar/radial deviation, and pronation/supination). The results of the RULA report showed a reduction in musculoskeletal risk using robotic-assisted assembly. Regarding the kinematic analysis of the wrist during robotic-assisted tasks, a significant posture improvement of 20–45% was registered (considering the angular deviations relative to the neutral wrist position). The results obtained by direct measurements simultaneously reflect the workload and individual characteristics. The current study highlights the importance of an in-field instrumented assessment of musculoskeletal risk and the limitations of the system applied (e.g., unsuitable for tracking the motion of small joints, such as the fingers).

show abstract

Comparison of Wearable Inertial Sensors and RGB-D Cameras for Ergonomic Risk Assessment

Ciccarelli

Scoccia

Forlini

et al. 2023

Lecture Notes in Networks and Systems

View full text Add to dashboard Cite

In-field instrumented ergonomic risk assessment: Inertial measurement units versus Kinect V2

Cited by 40 publications

References 37 publications

Implementation of Kinetic and Kinematic Variables in Ergonomic Risk Assessment Using Motion Capture Simulation: A Review

Implementation of Kinetic and Kinematic Variables in Ergonomic Risk Assessment Using Motion Capture Simulation: A Review

Digitalization of Musculoskeletal Risk Assessment in a Robotic-Assisted Assembly Workstation

Comparison of Wearable Inertial Sensors and RGB-D Cameras for Ergonomic Risk Assessment

Contact Info

Product

Resources

About