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InjectMeAI—Software Module of an Autonomous Injection Humanoid

The recent pandemic outbreak proved social distancing effective in helping curb the spread of SARS-CoV-2 variants along with the wearing of masks and hand gloves in hospitals and assisted living environments. Health delivery personnel having undergone training regarding the handling of patients suff...

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Autores principales: Ampadu, Kwame Owusu, Rokohl, Florian, Mahmood, Safdar, Reichenbach, Marc, Huebner, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9324448/
https://www.ncbi.nlm.nih.gov/pubmed/35890995
http://dx.doi.org/10.3390/s22145315
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author Ampadu, Kwame Owusu
Rokohl, Florian
Mahmood, Safdar
Reichenbach, Marc
Huebner, Michael
author_facet Ampadu, Kwame Owusu
Rokohl, Florian
Mahmood, Safdar
Reichenbach, Marc
Huebner, Michael
author_sort Ampadu, Kwame Owusu
collection PubMed
description The recent pandemic outbreak proved social distancing effective in helping curb the spread of SARS-CoV-2 variants along with the wearing of masks and hand gloves in hospitals and assisted living environments. Health delivery personnel having undergone training regarding the handling of patients suffering from Corona infection have been stretched. Administering injections involves unavoidable person to person contact. In this circumstance, the spread of bodily fluids and consequently the Coronavirus become eminent, leading to an upsurge of infection rates among nurses and doctors. This makes enforced home office practices and telepresence through humanoid robots a viable alternative. In providing assistance to further reduce contact with patients during vaccinations, a software module has been designed, developed, and implemented on a Pepper robot that estimates the pose of a patient, identifies an injection spot, and raises an arm to deliver the vaccine dose on a bare shoulder. Implementation was done using the QiSDK in an android integrated development environment with a custom Python wrapper. Tests carried out yielded positive results in under 60 s with an 80% success rate, and exposed some ambient lighting discrepancies. These discrepancies can be solved in the near future, paving a new way for humans to get vaccinated.
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spelling pubmed-93244482022-07-27 InjectMeAI—Software Module of an Autonomous Injection Humanoid Ampadu, Kwame Owusu Rokohl, Florian Mahmood, Safdar Reichenbach, Marc Huebner, Michael Sensors (Basel) Article The recent pandemic outbreak proved social distancing effective in helping curb the spread of SARS-CoV-2 variants along with the wearing of masks and hand gloves in hospitals and assisted living environments. Health delivery personnel having undergone training regarding the handling of patients suffering from Corona infection have been stretched. Administering injections involves unavoidable person to person contact. In this circumstance, the spread of bodily fluids and consequently the Coronavirus become eminent, leading to an upsurge of infection rates among nurses and doctors. This makes enforced home office practices and telepresence through humanoid robots a viable alternative. In providing assistance to further reduce contact with patients during vaccinations, a software module has been designed, developed, and implemented on a Pepper robot that estimates the pose of a patient, identifies an injection spot, and raises an arm to deliver the vaccine dose on a bare shoulder. Implementation was done using the QiSDK in an android integrated development environment with a custom Python wrapper. Tests carried out yielded positive results in under 60 s with an 80% success rate, and exposed some ambient lighting discrepancies. These discrepancies can be solved in the near future, paving a new way for humans to get vaccinated. MDPI 2022-07-15 /pmc/articles/PMC9324448/ /pubmed/35890995 http://dx.doi.org/10.3390/s22145315 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Ampadu, Kwame Owusu
Rokohl, Florian
Mahmood, Safdar
Reichenbach, Marc
Huebner, Michael
InjectMeAI—Software Module of an Autonomous Injection Humanoid
title InjectMeAI—Software Module of an Autonomous Injection Humanoid
title_full InjectMeAI—Software Module of an Autonomous Injection Humanoid
title_fullStr InjectMeAI—Software Module of an Autonomous Injection Humanoid
title_full_unstemmed InjectMeAI—Software Module of an Autonomous Injection Humanoid
title_short InjectMeAI—Software Module of an Autonomous Injection Humanoid
title_sort injectmeai—software module of an autonomous injection humanoid
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9324448/
https://www.ncbi.nlm.nih.gov/pubmed/35890995
http://dx.doi.org/10.3390/s22145315
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