Oropharynx Visual Detection by Using a Multi-Attention Single-Shot Multibox Detector for Human–Robot Collaborative Oropharynx Sampling-Reference-Cited by-同舟云学术

Oropharynx Visual Detection by Using a Multi-Attention Single-Shot Multibox Detector for Human–Robot Collaborative Oropharynx Sampling

Published:2023-12 Issue:6 Volume:53 Page:1073-1082
ISSN:2168-2291
Container-title:IEEE Transactions on Human-Machine Systems
language:
Short-container-title:IEEE Trans. Human-Mach. Syst.

Author:

Gao Qing¹^ORCID,Chen Yongquan²^ORCID,Ju Zhaojie³^ORCID

Affiliation:

1. School of Electronics and Communication Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen, China

2. Shenzhen Institute of Artificial Intelligence and Robotics for Society, The Chinese University of Hong Kong, Shenzhen, China

3. School of Computing, University of Portsmouth, Portsmouth, U.K.

Funder

Basic and Applied Basic Research Foundation of Guangdong Province

National Natural Science Foundation of China

Shenzhen Science and Technology Program

Shenzhen Institute of Artificial Intelligence and Robotics for Society

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Human-Computer Interaction,Signal Processing,Control and Systems Engineering,Human Factors and Ergonomics

Link

http://xplorestaging.ieee.org/ielx7/6221037/10360306/10304311.pdf?arnumber=10304311

Reference40 articles.

1. COVID-19: a new challenge for human beings

2. Combating COVID-19—The role of robotics in managing public health and infectious diseases

3. Clinical application of an intelligent oropharyngeal swab robot: implication for the COVID-19 pandemic

4. PyTorch: An imperative style, high-performance deep learning library;Paszke,2019

5. Multi-Object Detection and Tracking, Based on DNN, for Autonomous Vehicles: A Review