Open AccessUsage of eye tracker technology in examining attention distribution of operators of unmanned aerial vehicles
Author(s) -
Zoya Hubenova,
Konstantin Metodiev,
S. Dimitrova,
Liubomir Alexiev
Publication year - 2021
Publication title -
aerospace research in bulgaria
Language(s) - English
Resource type - Journals
eISSN - 2367-9522
pISSN - 1313-0927
DOI - 10.3897/arb.v33.e16
Subject(s) - operator (biology) , computer science , computer vision , eye tracking , overlay , artificial intelligence , transformation (genetics) , homography , eye movement , session (web analytics) , computer graphics (images) , mathematics , biochemistry , chemistry , statistics , projective test , repressor , projective space , transcription factor , world wide web , gene , programming language
This article proposes yet another approach towards looking into causes for attention distribution of an operator of unmanned aerial vehicle. During examination, the operator is being tested at dedicated flight simulator while data are gathered and visualized through a mobile eye tracker. Two work stages are considered sequentially, i.e. building a geometric 2D transformation of region of interest (homography) within an image, and overlaying a dynamic heatmap as well. In the former stage, spontaneous movements of the operator’s head, recorded by the video, are eliminated thus enabling the operator to use the mobile eye tracker instead of a desktop-based one. During the latter stage, the distribution of operator’s attention over time is displayed. In order to implement the current research, a source code has been developed in C++ for some features readily available in OpenCV library to be used. In addition, data gathered after carrying out flight session are processed and discussed thoroughly.