ANALYSIS OF THE HUMAN BODY POSITIONING IN DISASTER REMEDIATION

Authors: Svilen Neykov, Rosen Iliev

Language: English

Published/Presented on:

Conference: Secure Systems Design and Technology Development (SysTechDev 2026)

DOI: 10.68302/std2026.vol1.149

Abstract:

The paper presents an approach to detection, classification and decision making for disaster relief scenarios, based on imaging data, pose estimations, depth perception and scene understanding, utilizing AI while performing on low power hardware.

How to cite?

IEEE style: S. Neykov and R. Iliev, “Analysis of the Human Body Positioning in Disaster Remediation,” in Proceedings of the International Scientific Conference Secure Systems Design and Technology Development, vol. I, pp. 303–310, 2026, doi: 10.68302/std2026.vol1.149.

Chicago style: Neykov, Svilen, and Rosen Iliev. “Analysis of the Human Body Positioning in Disaster Remediation.” Proceedings of the International Scientific Conference Secure Systems Design and Technology Development, vol. I (2026): 303–310. https://doi.org/10.68302/std2026.vol1.149.

APA style: Neykov, S., & Iliev, R. (2026). Analysis of the human body positioning in disaster remediation. Proceedings of the International Scientific Conference Secure Systems Design and Technology Development, 1, 303–310. https://doi.org/10.68302/std2026.vol1.149