DocumentCode :
181306
Title :
PTSD monitoring by using brain computer interface for UAV operator safety
Author :
Ali, Sherif
Author_Institution :
GE Aviation Systems
fYear :
2014
fDate :
5-9 Oct. 2014
Firstpage :
1
Lastpage :
10
Abstract :
Today´s technological advances may have changed the face of warfare, but veterans are still suffering from Post-Traumatic Stress Disorder — all while they´re sitting miles away from ground combat. Unmanned aircraft have taken on key roles in the success of America´s wartime missions. Reconnaissance, air-to-ground combat and other functions the drones offer have helped keep troops off of the battlefield, but service members are still the ones pulling the trigger. And it´s these same drone operators that are suffering from the same combat stresses that our troops on the ground sometimes experience [1]. Even with ally of our technology, the moral and emotional burden falls only on the mind of the human controller, not on the computer chips within the digital brains of the aircraft. Robots still affect the mental health of soldiers. The Raven is a hand-launched, battery-powered UAV that provides a live video feed used for battlefield reconnaissance and battle damage assessment On April 2, 2014, Army Specialist Ivan Lopez opened fire on his colleagues at Fort Hood, Texas, killing three people before turning the gun on himself. The mass shooting, the second at ×Fort Hood in the past five years, focused attention nationwide on the difficulties that U.S. veterans face in the twilight of the post-9/11 wars. Particular attention has been paid to the mental and emotional health of veterans. Despite having never been in combat during his deployment to Iraq, after returning to the United States, Lopez was reportedly seeing a psychiatrist and was being evaluated for post-traumatic stress disorder(PTSD).
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Avionics Systems Conference (DASC), 2014 IEEE/AIAA 33rd
Conference_Location :
Colorado Springs, CO, USA
Print_ISBN :
978-1-4799-5002-7
Type :
conf
DOI :
10.1109/DASC.2014.6979647
Filename :
6979647
Link To Document :
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