@inproceedings{05cfcb56bef24f6491eb61d63b58e807,
title = "Real-time workload assessment using EEG signals in virtual reality environment",
abstract = "The next generation human-computer interaction requires, a close-to-real, virtual reality environment and a more sensitive real-time brain states monitoring to account for instantaneous human thoughts and feelings. Within this goal area, workload evaluation of human subject is extraordinary critical to both safety and security of risk-sensitive domains, including flight operations and mission success. In this paper, we present a non-intrusive workload assessment framework by real-time processing of continuous EEG signals measured from “pilots” during flight operations. Our framework has been experimented on a 2D computer screen based flight simulation platform (MATB-II, Revised Multi-Attribute Task Battery) and a virtual reality-based realistic flight simulator. This novel framework has the potential of reducing task overloads and improving performance in risk-sensitive domains.",
keywords = "EEG, Flight simulation, Real-time, Virtual reality, Workload",
author = "Shen Ren and Fabio Babiloni and Thakor, {Nitish V.} and Anastasios Bezerianos",
year = "2016",
month = jan,
day = "1",
language = "English (US)",
isbn = "9783319327013",
series = "IFMBE Proceedings",
publisher = "Springer Verlag",
pages = "1345--1346",
editor = "Efthyvoulos Kyriacou and Stelios Christofides and Pattichis, {Constantinos S.}",
booktitle = "XIV Mediterranean Conference on Medical and Biological Engineering and Computing, MEDICON 2016",
note = "14th Mediterranean Conference on Medical and Biological Engineering and Computing, MEDICON 2016 ; Conference date: 31-03-2016 Through 02-04-2016",
}