Literature DB >> 26645694

Investigation of the effect of EEG-BCI on the simultaneous execution of flight simulation and attentional tasks.

Giovanni Vecchiato1, Gianluca Borghini2,3, Pietro Aricò4,2, Ilenia Graziani4,2, Anton Giulio Maglione4,2, Patrizia Cherubino4,2, Fabio Babiloni2,3,5.   

Abstract

Brain-computer interfaces (BCIs) are widely used for clinical applications and exploited to design robotic and interactive systems for healthy people. We provide evidence to control a sensorimotor electroencephalographic (EEG) BCI system while piloting a flight simulator and attending a double attentional task simultaneously. Ten healthy subjects were trained to learn how to manage a flight simulator, use the BCI system, and answer to the attentional tasks independently. Afterward, the EEG activity was collected during a first flight where subjects were required to concurrently use the BCI, and a second flight where they were required to simultaneously use the BCI and answer to the attentional tasks. Results showed that the concurrent use of the BCI system during the flight simulation does not affect the flight performances. However, BCI performances decrease from the 83 to 63 % while attending additional alertness and vigilance tasks. This work shows that it is possible to successfully control a BCI system during the execution of multiple tasks such as piloting a flight simulator with an extra cognitive load induced by attentional tasks. Such framework aims to foster the knowledge on BCI systems embedded into vehicles and robotic devices to allow the simultaneous execution of secondary tasks.

Entities:  

Keywords:  Alertness; Brain computer interface; Electroencephalography; Flight simulator; Vigilance

Mesh:

Year:  2015        PMID: 26645694     DOI: 10.1007/s11517-015-1420-6

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  36 in total

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5.  EEG-Based Cognitive Control Behaviour Assessment: an Ecological study with Professional Air Traffic Controllers.

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6.  Neurophysiological Measures of the Perception of Antismoking Public Service Announcements Among Young Population.

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8.  InstanceEasyTL: An Improved Transfer-Learning Method for EEG-Based Cross-Subject Fatigue Detection.

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9.  In silico vs. Over the Clouds: On-the-Fly Mental State Estimation of Aircraft Pilots, Using a Functional Near Infrared Spectroscopy Based Passive-BCI.

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Journal:  Front Hum Neurosci       Date:  2018-05-17       Impact factor: 3.169

10.  Brain-Computer Interfaces: Toward a Daily Life Employment.

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