Evidence map›Paper›PMID 36433494›Full record

ArticleSensors (Basel, Switzerland)2022

Sensor-Based Motion Tracking System Evaluation for RULA in Assembly Task.

Wenny Franciska Senjaya, Bernardo Nugroho Yahya, Seok-Lyong Lee

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.7field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 14 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 2 countries.

Wenny Franciska SenjayaDepartment of Industrial and Management Engineering, Hankuk University of Foreign Studies, Yongin 17035, Republic of Korea.ORCID 0000-0002-8070-3210
Bernardo Nugroho YahyaDepartment of Industrial and Management Engineering, Hankuk University of Foreign Studies, Yongin 17035, Republic of Korea.
Seok-Lyong LeeDepartment of Industrial and Management Engineering, Hankuk University of Foreign Studies, Yongin 17035, Republic of Korea.
Hankuk University of Foreign Studies · KRMaranatha Christian University · ID

Funding

Ministry of Science and Technology of the Republic of Korea and the National Research Foundation of Korea NRF-2021R1F1A1047577Ministry of Science and Technology of the Republic of Korea and the National Research Foundation of Korea NRF-2021R1F1A1060244
6 · The paper itself

Abstract

Industries need a mechanism to monitor the workers' safety and to prevent Work-related Musculoskeletal Disorders (WMSDs). The development of ergonomics assessment tools helps the industry evaluate workplace design and worker posture. Many studies proposed the automated ergonomics assessment method to replace the manual; however, it only focused on calculating body angle and assessing the wrist section manually. This study aims to (a) propose a wrist kinematics measurement based on unobtrusive sensors, (b) detect potential WMSDs related to wrist posture, and (c) compare the wrist posture of subjects while performing assembly tasks to achieve a comprehensive and personalized ergonomic assessment. The wrist posture measurement is combined with the body posture measurement to provide a comprehensive ergonomics assessment based on RULA. Data were collected from subjects who performed the assembly process to evaluate our method. We compared the risk score assessed by the ergonomist and the risk score generated by our method. All body segments achieved more than an 80% similarity score, enhancing the scores for wrist position and wrist twist by 6.8% and 0.3%, respectively. A hypothesis analysis was conducted to evaluate the difference across the subjects. The results indicate that every subject performs tasks differently and has different potential risks regarding wrist posture.

Indexed as

WristWrist JointHumansIndustryMotionPostureergonomicsmultimodal sensorsmusculoskeletal disordersrisk assessmentwrist posture

Identifiers

PMID36433494
PMCPMC9692452
OpenAlexW4309457166

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.