@inproceedings{0c599bfcae5c42608079a9fcc65f5c83,
title = "Gesture Control Method for Oral Blood Mixed Liquid Removal Robot∗",
abstract = "All of oral surgeries are accompanied by bleeding. Manual removal of blood is carried out by a nurse and dozens of repetitive blood suction operations are implemented by the nurse during a single oral surgery. In our previous work, a robot for removal of blood-water mixed liquid is designed. However, the robot requires an initial order to autonomous removal of blood mixed liquid. In this paper, a hand gesture control method for typical operations of the robot is developed. Gesture dataset are developed at first and a deep learning neural network is trained for detection of hand gesture. The gesture control procedures for four typical operations are provided in detail. In a group of experiments, it's demonstrated that an oral surgeon controls the robot's motion by presenting prescribed hand gesture. The proposed method could be an alternative manner for blood mixed liquid removal.",
author = "Xudong Ma and Ziao Kuang and Han Li and Anqi Chen and Changsheng Li and Wenyong Liu and Junchen Wang and Hu, {Yida David} and Li Gao and Su, {Bai Quan}",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 5th World Robot Conference Symposium on Advanced Robotics and Automation, WRC SARA 2023 ; Conference date: 19-08-2023",
year = "2023",
doi = "10.1109/WRCSARA60131.2023.10261861",
language = "English",
series = "2023 WRC Symposium on Advanced Robotics and Automation, WRC SARA 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "127--132",
booktitle = "2023 WRC Symposium on Advanced Robotics and Automation, WRC SARA 2023",
address = "United States",
}
