Design of an Intelligent Robot for Back-Slap Sputum Excretion Based on Back Feature Recognition

  • Diansheng Chen
  • , Yue Pan
  • , Yuanhai Huang
  • , Min Wang*
  • , Renren Bao
  • , Chunxia Tang
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Under the circumstance of COVID-19 epidemic spread, global medical resources are in serious shortage. As a common way of care for respiratory diseases, although back-slap sputum excretion can be used for the care of lung diseases, but it requires the cooperation of multiple medical staff, and lead to inefficient care. This paper designed a method of the human' s back feature recognition based on YOLOv5, and built a new type of intelligent robot for back-slap sputum excretion on this basis, which can assist care staff to complete the back-slap sputum excretion care for patients, and reduce the labor intensity of staff and the risk of cross infection.

Original languageEnglish
Title of host publication2022 IEEE International Conference on Robotics and Biomimetics, ROBIO 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1831-1836
Number of pages6
ISBN (Electronic)9781665481090
DOIs
StatePublished - 2022
Event2022 IEEE International Conference on Robotics and Biomimetics, ROBIO 2022 - Jinghong, China
Duration: 5 Dec 20229 Dec 2022

Publication series

Name2022 IEEE International Conference on Robotics and Biomimetics, ROBIO 2022

Conference

Conference2022 IEEE International Conference on Robotics and Biomimetics, ROBIO 2022
Country/TerritoryChina
CityJinghong
Period5/12/229/12/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • back-slap sputum excretion
  • feature recognition
  • intelligent robot

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