@inproceedings{88c011dc5183408d8a062ed8b1a87845,
title = "Design and Robot Autonomous Wearing of Tactile Perception Nose Clip for Human Respiration Rate Detection",
abstract = "In order to autonomously sense the injured person's physiological indices like respiration rate and thus take immediate robotic triage in complex disaster scenarios, a nose clip system with tactile perception was designed, and its autonomous wearing method with the help of tactile information and visual information was proposed. A test device for autonomous wearing of nose clip detection was set up. The results show that the nose clip system with tactile perception combined with the proposed wearing method can realize the autonomous detection of the nose clip with a success rate of 86.67\% in the disaster scenario where visual information is missing. Compared with the traditional vision method of wearing detection, the success rate is relatively increased by 40\%.",
keywords = "autonomous operation, disaster scenarios, pose estimation, tactile, triage",
author = "Shibing Hao and Xiangyu Cheng and Yunjiang Lou",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 25th IEEE China Conference on System Simulation Technology and its Application, CCSSTA 2024 ; Conference date: 21-07-2024 Through 23-07-2024",
year = "2024",
doi = "10.1109/CCSSTA62096.2024.10691787",
language = "英语",
series = "Proceedings of 2024 IEEE 25th China Conference on System Simulation Technology and its Application, CCSSTA 2024",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "907--914",
booktitle = "Proceedings of 2024 IEEE 25th China Conference on System Simulation Technology and its Application, CCSSTA 2024",
address = "美国",
}