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General Information
ISSN:
1798-2340 (Online)
Frequency:
Monthly
DOI:
10.12720/jait
Indexing:
ESCI (Web of Science)
,
Scopus
,
CNKI
,
etc
.
Acceptance Rate:
12%
APC:
1000 USD
Average Days to Accept:
87 days
Journal Metrics:
Impact Factor 2023: 0.9
4.2
2023
CiteScore
57th percentile
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Editor-in-Chief
Prof. Kin C. Yow
University of Regina, Saskatchewan, Canada
I'm delighted to serve as the Editor-in-Chief of
Journal of Advances in Information Technology
.
JAIT
is intended to reflect new directions of research and report latest advances in information technology. I will do my best to increase the prestige of the journal.
What's New
2025-02-10
All the 141 papers published in JAIT in 2024 have been indexed by Scopus.
2025-01-23
JAIT Vol. 16, No. 1 has been published online!
2024-06-07
JAIT received the CiteScore 2023 with 4.2, ranked #169/394 in Category Computer Science: Information Systems, #174/395 in Category Computer Science: Computer Networks and Communications, #226/350 in Category Computer Science: Computer Science Applications
Home
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Published Issues
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2022
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Volume 13, No. 5, October 2022
>
JAIT 2022 Vol.13(5): 477-485
doi: 10.12720/jait.13.5.477-485
UAV Pilot Status Identification Algorithm Using Image Recognition and Biosignals
Sedam Lee, Eunsung Go, and Yongjin Kwon
Dept. of Industrial Engineering, Ajou University, Suwon, South Korea
Abstract
—With the development of various technologies such as sensors and communications, the scope of application for UAVs (unmanned aerial vehicles) is expanding. The use of UAVs is increasing not only in the military sectors, but also in the civilian industries. For the operation of UAVs, pilots must use a control system called the GCS (ground control system). With the GCS, pilots need to understand and be informed of the full operational context of the UAVs. However, the GCS can only provide the pilots with limited resources. Therefore, in order to overcome these limitations, excessive information may be provided to the pilots, which may cause abnormal conditions such as mission overload. In this context, there is a need for a system that can prevent abnormal conditions of the pilot and increase the mission success rate. In this paper, the pilot state information is collected through a camera and wearable devices to understand the pilot state in real time. An algorithm that can derive the pilot state from the collected information was developed. Algorithms can provide feedback to prevent accidents caused by mistakes and contingencies that can arise from the pilot's abnormal conditions. The algorithm shows high accuracy and stability when applied to simulated flight conditions. In addition, it is simple to use and there are no physical restrictions on the pilot's action, hence efficient mission performance is expected.
Index Terms
—pilot state, abnormal condition, biosignals, face recognition, posture estimation, state identification
Cite: Sedam Lee, Eunsung Go, and Yongjin Kwon, "UAV Pilot Status Identification Algorithm Using Image Recognition and Biosignals," Journal of Advances in Information Technology, Vol. 13, No. 5, pp. 477-485, October 2022.
Copyright © 2022 by the authors. This is an open access article distributed under the Creative Commons Attribution License (
CC BY-NC-ND 4.0
), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.
10-BT002-Korea
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