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Author Archives: Luis Lutnyk

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FlyBrate: Evaluating Vibrotactile Cues for Simulated Flight

Our article “FlyBrate: Evaluating Vibrotactile Cues for Simulated Flight” has been accepted for publication by the International Journal of Human–Computer Interaction (IJHCI):

Luis Lutnyk, David Rudi, Emanuel Meier, Peter Kiefer, Martin Raubal (2022). FlyBrate: Evaluating Vibrotactile Cues for Simulated Flight , International Journal of Human–Computer Interaction, DOI: 10.1080/10447318.2022.2075627.

Abstract. Contemporary aircraft cockpits rely mostly on audiovisual information propagation which can overwhelm particularly novice pilots. The introduction of tactile feedback, as a less taxed modality, can improve the usability in this case. As part of a within-subject simulator study, 22 participants are asked to fly a visual-flight-rule scenario along a predefined route and identify objects in the outside world that serve as waypoints. Participants fly two similar scenarios with and without a tactile belt that indicates the route. Results show that with the belt, participants perform better in identifying objects, have higher usability and user experience ratings, and a lower perceived cognitive workload, while showing no improvement in spatial awareness. Moreover, 86\% of the participants state that they prefer flying with the tactile belt. These results suggest that a tactile belt provides pilots with an unobtrusive mode of assistance for tasks that require orientation using cues from the outside world.

The article will appear in one of the next issues of the International Journal of Human–Computer Interaction.

It has been published as Open Access and you can get the PDF here:
https://www.tandfonline.com/doi/full/10.1080/10447318.2022.2075627


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Co-authored paper on PEGGASUS at SPIE Photonics West

A joint paper with our partners at CSEM on the eye tracking hard- and software developed in PEGGASUS was published on the SPIE digital library. We encourage you to take a deep dive into the technological achievements of PEGGASUS:

“The pipeline, which is a combination of data-driven and analytics approaches, runs in real time at 60 fps with a latency of about 32ms. The eye gaze estimation error was evaluated in terms of the point of regard distance error with respect to the 3D point location. An average error of less than 1.1cm was achieved over 28 gaze points representing the cockpit instruments placed at about 80-110cm from the participants’ eyes.”

Engin Türetkin, Sareh Saeedi, Siavash Bigdeli, Patrick Stadelmann, Nicolas Cantale, Luis Lutnyk, Martin Raubal, Andrea L. Dunbar (2022). Real time eye gaze tracking for human machine interaction in the cockpit In AI and Optical Data Sciences III (Vol. 12019, pp. 24-33). SPIE..

The paper was presented at SPIE’s Photonics West conference at San Francisco’s Moscone Center.

Find the full text and presentation video here: https://doi.org/10.1117/12.2607434

The publication is part of PEGGASUS. This project has received funding from the Clean Sky 2 Joint Undertaking under the European Union’s Horizon 2020 research and innovation program under grant agreement No. 821461


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Successful finish of PEGGASUS and summary

We are happy to report that our aviation project PEGGASUS (Pilot Eye Gaze and Gesture tracking for Avionics Systems using Unobtrusive Solutions) successfully finished.

We would like to thank all partners involved in the project for the extensive efforts to finish the project successfully and deliver the results despite all the Covid-related restrictions and hurdles.

You can find a summary of the project outcomes at the EU Cordis Portal:

“The PEGGASUS consortium has developed a multi-camera vision system for tracking eye-gaze and gestures of the pilots in real time in the cockpit environment. This system allows a leap towards a more comprehensive human-machine interface in the cockpit to reduce the stress and cognitive load of the pilots, while bringing forward future pilot training techniques. Better awareness of the instruments will help the flight management to optimize trajectories and better manage fuel use, in line with the overall objectives of the Clean Sky JU.”

Two images showing the results of the algorithms including pupil detection and eye gaze estimation

Ultimate Prototype Hardware setup installed in the cockpit simulator

 

 

 

 

 

 

 

 

 

Excerpt and images taken from: https://cordis.europa.eu/project/id/821461/reporting

This project has received funding from the Clean Sky 2 Joint Undertaking under the European Union’s Horizon 2020 research and innovation program under grant agreement No. 821461


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Joint Talk at the Royal Aeronautical Society Flight Simulation Conference

We had the honor of giving a presentation at the Royal Aeronautical Society‘s Flight Simulation Conference which took place from October 26nd to 27th in London.

In the joint talk with Gilad Scherpf of Lufthansa Group, we presented results from the PEGGASUS project and showcased how eye and gesture tracking can support the assessment of EBT competencies. (Evidence-Based Training)

We want to thank the hosts at the RAeS for the invitation and the attendees for the very positive feedback and interesting questions during the panel discussion. A special thank you also goes out to our partners at SWISS and CSEM.

The full programme of the conference can be found here.

 

The talk was given as part of PEGGASUS. This project has received funding from the Clean Sky 2 Joint Undertaking under the European Union’s Horizon 2020 research and innovation program under grant agreement No. 821461


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Workshop Paper published from ICCAS 2020

Our paper “Recognizing Pilot State: Enabling Tailored In-Flight Assistance Through Machine Learning” has been published in the proceedings of the 1st International Conference on Cognitive Aircraft Systems:

Lutnyk, L., Rudi, D., Kiefer, P., & Raubal, M. (2020). Recognizing Pilot State: Enabling Tailored In-Flight Assistance Through Machine Learning ICCAS 2020.

Abstract. Moving towards the highly controversial single pilot cockpit, more and more automation capabilities are added to today’s airliners. However, to operate safely without a pilot monitoring, avionics systems in future cockpits will have to be able to intelligently assist the remaining pilot. One critical enabler for proper assistance is a reliable classification of the pilot’s state, both in normal conditions and more critically in abnormal situations like an equipment failure. Only with a good assessment of the pilot’s state, the cockpit can adapt to the pilot’s current needs, i.e. alert, adapt displays, take over tasks, monitor procedures, etc.

The publication is part of PEGGASUS. This project has received funding from the Clean Sky 2 Joint Undertaking under the European Union’s Horizon 2020 research and innovation program under grant agreement No. 821461


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Workshop Paper published from ETAVI 2020

Our paper Towards Pilot-Aware Cockpits has been published in the proceedings of the 1st International Workshop on Eye-Tracking in Aviation (ETAVI 2020):

Lutnyk L., Rudi D., and Raubal M. (2020). Towards Pilot-​Aware Cockpits. In Proceedings of the 1st International Workshop on Eye-​Tracking in Aviation (ETAVI 2020), ETH Zurich. DOI: https://doi.org/10.3929/ethz-b-000407661

Abstract. Eye tracking has a longstanding history in aviation research. Amongst others it has been employed to bring pilots back “in the loop”, i.e., create a better awareness of the flight situation. Interestingly, there exists only little research in this context that evaluates the application of machine learning algorithms to model pilots’ understanding of the aircraft’s state and their situation awareness. Machine learning models could be trained to differentiate between normal and abnormal patterns with regard to pilots’ eye movements, control inputs, and data from other psychophysiological sensors, such as heart rate or blood pressure. Moreover, when the system recognizes an abnormal pattern, it could provide situation specific assistance to bring pilots back in the loop. This paper discusses when pilots benefit from such a pilot-aware system, and explores the technical and user oriented requirements for implementing this system.

Edit. The publication is part of PEGGASUS. This project has received funding from the Clean Sky 2 Joint Undertaking under the European Union’s Horizon 2020 research and innovation program under grant agreement No. 821461


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PEGGASUS in the news

Our research project PEGGASUS (Pilot Eye Gaze and Gesture tracking for Avionics Systems using Unobtrusive Solutions) has attracted quite a bit of coverage in the media.

See for yourself in this little press review:

Edit. This project has received funding from the Clean Sky 2 Joint Undertaking under the European Union’s Horizon 2020 research and innovation program under grant agreement No. 821461


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New aviation project: PEGGASUS

PEGGASUS (Pilot Eye Gaze and Gesture tracking for Avionics Systems using Unobtrusive Solutions)

We’re glad to announce the start of a new aviation project at the GeoGazeLab.

Check out our vision for pilot interactions in the cockpit of the future at the project page.

Edit. This project has received funding from the Clean Sky 2 Joint Undertaking under the European Union’s Horizon 2020 research and innovation program under grant agreement No. 821461