DocumentCode :
3455268
Title :
Eyekon: augmented reality for battlefield soldiers
Author :
Hicks, Jeffrey D. ; Flanagan, Richard A. ; Petrov, Plamen V. ; Stoyen, Alexander D.
Author_Institution :
Nebraska Univ., Papillion, NE, USA
fYear :
2002
fDate :
5-6 Dec. 2002
Firstpage :
156
Lastpage :
163
Abstract :
The battlefield is a place of violence, chaos and ruled by uncertainty. Timely knowledge of what\´s happening around a soldier can mean the difference between life and death. The goals of an enhanced mobile infantry as expressed in Heinlein\´s timeless Starship Troopers is becoming a reality today through innovative progress being made by the U.S. Army\´s 21st Century Land Warrior (LW) program. However, the current system does not provide a "head up" display like the capability that today\´s avionics provides to fighter pilots. What is wanted is that when the soldier employs the weapon he sees objects easily distinguishable as friendly or not, as well as enemy locations. This work is aimed at developing smart icons that are superimposed on the video from a LW weapon sight. Eyekon is an intelligent agent-based decision support system hosted on the LW\´s wearable computer. Eyekon will use LW networked position reports to provide a perspective view in the weapon sight. This will naturally draw the warrior to the most desirable target. There are many performance and human factors issues to address before the concept can be used in lethal situations.
Keywords :
augmented reality; cooperative systems; decision support systems; graphical user interfaces; human factors; military computing; wearable computers; Eyekon; LW weapon sight; augmented reality; human factor; intelligent agent-based decision support system; perspective view; smart icon; wearable computer; Aerospace electronics; Augmented reality; Chaos; Decision support systems; Displays; Human factors; Intelligent agent; Uncertainty; Weapons; Wearable computers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Engineering Workshop, 2002. Proceedings. 27th Annual NASA Goddard/IEEE
Print_ISBN :
0-7695-1855-9
Type :
conf
DOI :
10.1109/SEW.2002.1199462
Filename :
1199462
Link To Document :
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