Assessment of Pain Onset and Maximum Bearable Pain Thresholds in Physical Contact Situations.

biomechanical limitation collaborative application collision safety human–robot interaction pain threshold

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
13 Apr 2022
Historique:
received: 01 02 2022
revised: 08 04 2022
accepted: 09 04 2022
entrez: 23 4 2022
pubmed: 24 4 2022
medline: 27 4 2022
Statut: epublish

Résumé

With the development of robot technology, robot utilization is expanding in industrial fields and everyday life. To employ robots in various fields wherein humans and robots share the same space, human safety must be guaranteed in the event of a human-robot collision. Therefore, criteria and limitations of safety need to be defined and well clarified. In this study, we induced mechanical pain in humans through quasi-static contact by an algometric device (at 29 parts of the human body). A manual apparatus was developed to induce and monitor a force and pressure. Forty healthy men participated voluntarily in the study. Physical quantities were classified based on pain onset and maximum bearable pain. The overall results derived from the trials pertained to the subjective concept of pain, which led to considerable inter-individual variation in the onset and threshold of pain. Based on the results, a quasi-static contact pain evaluation method was established, and biomechanical safety limitations on forces and pressures were formulated. The pain threshold attributed to quasi-static contact can serve as a safety standard for the robots employed.

Identifiants

pubmed: 35458981
pii: s22082996
doi: 10.3390/s22082996
pmc: PMC9030557
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Ministry of Trade, Industry and Energy
ID : 10084657

Références

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pubmed: 24570335
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pubmed: 20003121
IEEE Access. 2020 Dec 18;9:1590-1615
pubmed: 34976569
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pubmed: 8383078
PLoS One. 2019 May 2;14(5):e0215890
pubmed: 31048921
Sensors (Basel). 2019 Oct 07;19(19):
pubmed: 31591324

Auteurs

Doyeon Han (D)

Department of Mechanical Engineering, Kyung Hee University, Yongin-si 17104, Korea.

Moonyoung Park (M)

Department of Industry-Academic Cooperation Foundation, Kyung Hee University, Yongin-si 17104, Korea.

Junsuk Choi (J)

Safetics, Seoul 07255, Korea.

Heonseop Shin (H)

Safetics, Seoul 07255, Korea.

Donghwan Kim (D)

Department of Physical Medicine & Rehabilitation, Kyung Hee University Hospital at Gangdong, Seoul 02447, Korea.

Sungsoo Rhim (S)

Department of Mechanical Engineering, Kyung Hee University, Yongin-si 17104, Korea.

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Classifications MeSH