{"title":"基于背部特征识别的智能背拍排痰机器人设计","authors":"Diansheng Chen, Yue Pan, Yuanhai Huang, Min Wang, Renren Bao, Chunxia Tang","doi":"10.1109/ROBIO55434.2022.10011775","DOIUrl":null,"url":null,"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.","PeriodicalId":151112,"journal":{"name":"2022 IEEE International Conference on Robotics and Biomimetics (ROBIO)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Design of an Intelligent Robot for Back-Slap Sputum Excretion Based on Back Feature Recognition\",\"authors\":\"Diansheng Chen, Yue Pan, Yuanhai Huang, Min Wang, Renren Bao, Chunxia Tang\",\"doi\":\"10.1109/ROBIO55434.2022.10011775\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":151112,\"journal\":{\"name\":\"2022 IEEE International Conference on Robotics and Biomimetics (ROBIO)\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE International Conference on Robotics and Biomimetics (ROBIO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ROBIO55434.2022.10011775\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Conference on Robotics and Biomimetics (ROBIO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ROBIO55434.2022.10011775","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Design of an Intelligent Robot for Back-Slap Sputum Excretion Based on Back Feature Recognition
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.
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