Aslan, Muhammet Fatih and Hasikin, Khairunnisa and Yusefi, Abdullah and Durdu, Akif and Sabanci, Kadir and Azizan, Muhammad Mokhzaini (2022) COVID-19 isolation control proposal via UAV and UGV for crowded indoor environments: Assistive robots in the shopping malls. Frontiers in Public Health, 10. ISSN 2296-2565, DOI https://doi.org/10.3389/fpubh.2022.855994.
Full text not available from this repository.Abstract
Artificial intelligence researchers conducted different studies to reduce the spread of COVID-19. Unlike other studies, this paper isn't for early infection diagnosis, but for preventing the transmission of COVID-19 in social environments. Among the studies on this is regarding social distancing, as this method is proven to prevent COVID-19 to be transmitted from one to another. In the study, Robot Operating System (ROS) simulates a shopping mall using Gazebo, and customers are monitored by Turtlebot and Unmanned Aerial Vehicle (UAV, DJI Tello). Through frames analysis captured by Turtlebot, a particular person is identified and followed at the shopping mall. Turtlebot is a wheeled robot that follows people without contact and is used as a shopping cart. Therefore, a customer doesn't touch the shopping cart that someone else comes into contact with, and also makes his/her shopping easier. The UAV detects people from above and determines the distance between people. In this way, a warning system can be created by detecting places where social distance is neglected. Histogram of Oriented-Gradients (HOG)-Support Vector Machine (SVM) is applied by Turtlebot to detect humans, and Kalman-Filter is used for human tracking. SegNet is performed for semantically detecting people and measuring distance via UAV. This paper proposes a new robotic study to prevent the infection and proved that this system is feasible.
| Item Type: | Article |
|---|---|
| Funders: | None |
| Uncontrolled Keywords: | COVID-19; HOG; SegNet; Semantic segmentation; Support Vector Machine; UAV |
| Subjects: | R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine |
| Divisions: | Faculty of Engineering > Biomedical Engineering Department |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 19 Oct 2023 02:54 |
| Last Modified: | 19 Oct 2023 02:54 |
| URI: | http://eprints.um.edu.my/id/eprint/41972 |
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