{"title":"移动救援机器人非接触式生命信号测量","authors":"Ruqiang Huang, Weihua Su, Rui Jian, Shiguo Li, Pengfa Xie, Shiyue Zhang, Wei Qin","doi":"10.1109/ICDSBA48748.2019.00096","DOIUrl":null,"url":null,"abstract":"Improving the mobile robot’s ability to perceive the physiological parameter of the wounded during search and rescue missions has attracted the attention from re-searchers. This paper proposed a vision-based vital signals measurement, we detect the human body from video images captured by the camera that mounted on a mobile rescue robot, then track the face. Extract heart rate (HR) and respiration rate (RR) by detecting colour variations of the face skin. We select human posture and face position as experimental variables, the evaluation results show that this method has good consistency with medical monitor, and the overall root mean square error is HR: 1.58, RR: 1.92. This non-contact vital signals detection method will effectively enhance the performance of the mobile robot in search and rescue tasks.","PeriodicalId":382429,"journal":{"name":"2019 3rd International Conference on Data Science and Business Analytics (ICDSBA)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Non-contact Vital Signals Measurement on a Mobile Rescue Robot\",\"authors\":\"Ruqiang Huang, Weihua Su, Rui Jian, Shiguo Li, Pengfa Xie, Shiyue Zhang, Wei Qin\",\"doi\":\"10.1109/ICDSBA48748.2019.00096\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Improving the mobile robot’s ability to perceive the physiological parameter of the wounded during search and rescue missions has attracted the attention from re-searchers. This paper proposed a vision-based vital signals measurement, we detect the human body from video images captured by the camera that mounted on a mobile rescue robot, then track the face. Extract heart rate (HR) and respiration rate (RR) by detecting colour variations of the face skin. We select human posture and face position as experimental variables, the evaluation results show that this method has good consistency with medical monitor, and the overall root mean square error is HR: 1.58, RR: 1.92. This non-contact vital signals detection method will effectively enhance the performance of the mobile robot in search and rescue tasks.\",\"PeriodicalId\":382429,\"journal\":{\"name\":\"2019 3rd International Conference on Data Science and Business Analytics (ICDSBA)\",\"volume\":\"43 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 3rd International Conference on Data Science and Business Analytics (ICDSBA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDSBA48748.2019.00096\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 3rd International Conference on Data Science and Business Analytics (ICDSBA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDSBA48748.2019.00096","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Non-contact Vital Signals Measurement on a Mobile Rescue Robot
Improving the mobile robot’s ability to perceive the physiological parameter of the wounded during search and rescue missions has attracted the attention from re-searchers. This paper proposed a vision-based vital signals measurement, we detect the human body from video images captured by the camera that mounted on a mobile rescue robot, then track the face. Extract heart rate (HR) and respiration rate (RR) by detecting colour variations of the face skin. We select human posture and face position as experimental variables, the evaluation results show that this method has good consistency with medical monitor, and the overall root mean square error is HR: 1.58, RR: 1.92. This non-contact vital signals detection method will effectively enhance the performance of the mobile robot in search and rescue tasks.