Evolution of cockPIt operations Levering on cOgnitive compuTing Services

Informazioni relative al progetto

E-PILOTS

ID dell’accordo di sovvenzione: 831993

DOI

10.3030/831993

Progetto chiuso

Data della firma CE 13 Dicembre 2018

Data di avvio 1 Gennaio 2019

Data di completamento 31 Dicembre 2021

Finanziato da

• SOCIETAL CHALLENGES - Smart, Green And Integrated Transport

Costo totale

€ 796 056,25

Contributo UE

€ 796 056,25

Coordinato da

UNIVERSITAT AUTONOMA DE BARCELONA
Spain

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Documents, reports (10)

Operational Concept for the E-PILOT and Simulation Framework Requirements

Report covering the outcomes from T1.2, T1.3 and T1.4. This will thoroughly describe the E-Pilot Operational Concept and the definition of functional and interface requirements for the different components of the simulation framework and the pilot

Report on the E-pilot decision support functionalities profile adaptation

Description of the functionalities that the epilot will offer to each specific pilot profile

Report on the error reporting module

Report with explanation of the errors committed during the execution of a task by backtracking in the decision tree from the actual node to the root node for a better understanding of the causes and design of potential mitigation mechanisms

Report on the Physiological characterization system

Report specifying the net of sensor implemented to sensor physiological responses caused by stress Additionally a set of metrics will be set in order to detect and asses the stress produced by certain tasks or scenarios

E-PILOTS Verification and Validation Report

Report describing the results from the implementation of the Verification and Validation plan and pilotintheloop trials

E-PILOTS Roadmap

Report covering envisaged operational and technical frameworks for the full development of the EPILOT concept

Report on Cognitive Sensor Net characterization system

Report specifying the net of sensor implemented to test pilots actions

Project Results Report

Final Project Results Report covering all the research activities performed by the project together with an assesment of the exploitation Impact and a short report on justification or pilot errors committed during the tasks execution

Report on Cognitive Computing State-of-the-Art

Report covering the outcomes from the review of the state-of-the-art in cognitive computing

Report of the Decision tree model and its validation

Report describing the decision tree model and achieved results

Open Research Data Pilot (1)

Data Management Plan

The document reports the Data Management Plan approach used in the project according to Guidelines on FAIR Data Management in Horizon 2020

Other (1)

Report on the E-pilot Performance

Report describing the epilot functionalities using the FRAM framework and summarizing the main insights of the pilot and epilot couplings

Pubblicazioni

Peer reviewed articles (3)

Recognition of the Mental Workloads of Pilots in the Cockpit Using EEG Signals

Autori: Aura Hernández-Sabaté José Yauri Pau Folch Miquel Àngel Piera Debora Gil
Pubblicato in: Applied Sciences, 2022, ISSN 2076-3417
Editore: MDPI
DOI: 10.3390/app12052298

A socio-technical holistic agent based model to assess cockpit supporting tools performance variability

Autori: Miquel Angel Piera, Juan Jose Ramos, Jose Luis Muñoz
Pubblicato in: IFAC-PapersOnLine, Numero 52/11, 2019, Pagina/e 122-127, ISSN 2405-8963
Editore: IFAC-Papers Online
DOI: 10.1016/j.ifacol.2019.09.128

A Socio-Technical Simulation Model for the Design of the Future Single Pilot Cockpit: An Opportunity to Improve Pilot Performance

Autori: Miquel Angel Piera; Jose Luis Muñoz; Debora Gil; Gonzalo Martin; Jordi Manzano
Pubblicato in: IEEE ACCESS, 2022, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2022.3153490

Book chapters (1)

Mental Workload Detection Based on EEG Analysis

Autori: José Yauri, Aura Hernández-Sabaté, Paul Folch, Débora Gil
Pubblicato in: Frontiers in Artificial Intelligence and Applications, 2021, Pagina/e 268 - 277
Editore: IOS Press
DOI: 10.3233/faia210144