The Sensor-Based Biomechanical Risk Assessment at the Base of the Need for Revising of Standards for Human Ergonomics.
International Standards for ergonomics
human–robot collaboration technologies
sensor-based biomechanical risk assessment
wearable sensors
Journal
Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366
Informations de publication
Date de publication:
10 Oct 2020
10 Oct 2020
Historique:
received:
02
09
2020
revised:
24
09
2020
accepted:
03
10
2020
entrez:
14
10
2020
pubmed:
15
10
2020
medline:
31
3
2021
Statut:
epublish
Résumé
Due to the epochal changes introduced by "Industry 4.0", it is getting harder to apply the varying approaches for biomechanical risk assessment of manual handling tasks used to prevent work-related musculoskeletal disorders (WMDs) considered within the International Standards for ergonomics. In fact, the innovative human-robot collaboration (HRC) systems are widening the number of work motor tasks that cannot be assessed. On the other hand, new sensor-based tools for biomechanical risk assessment could be used for both quantitative "direct instrumental evaluations" and "rating of standard methods", allowing certain improvements over traditional methods. In this light, this Letter aims at detecting the need for revising the standards for human ergonomics and biomechanical risk assessment by analyzing the WMDs prevalence and incidence; additionally, the strengths and weaknesses of traditional methods listed within the International Standards for manual handling activities and the next challenges needed for their revision are considered. As a representative example, the discussion is referred to the lifting of heavy loads where the revision should include the use of sensor-based tools for biomechanical risk assessment during lifting performed with the use of exoskeletons, by more than one person (team lifting) and when the traditional methods cannot be applied. The wearability of sensing and feedback sensors in addition to human augmentation technologies allows for increasing workers' awareness about possible risks and enhance the effectiveness and safety during the execution of in many manual handling activities.
Identifiants
pubmed: 33050438
pii: s20205750
doi: 10.3390/s20205750
pmc: PMC7599507
pii:
doi:
Types de publication
Letter
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : European Union's Horizon 2020 research and innovation programme
ID : 871237
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