Skip to main content
Weiter zur Homepage der Europäischen Kommission (öffnet in neuem Fenster)
Deutsch Deutsch
CORDIS - Forschungsergebnisse der EU
CORDIS

Eyes for Information, Communication, and Understanding

CORDIS bietet Links zu öffentlichen Ergebnissen und Veröffentlichungen von HORIZONT-Projekten.

Links zu Ergebnissen und Veröffentlichungen von RP7-Projekten sowie Links zu einigen Typen spezifischer Ergebnisse wie Datensätzen und Software werden dynamisch von OpenAIRE abgerufen.

Leistungen

Program and handouts for eye tracking methods, statistical analysis, data visualization (öffnet in neuem Fenster)

The WP4 starts with the diagnosis of the current DCs knowledge about empirical research methodology, data management, and statistical modeling. This step is necessary bearing in mind differences in curriculum of undergraduate and graduate programs between various disciplines, in this case, mainly computer and social sciences. Identification of methodological knowledge gaps and strengths, as well as the existing standard curriculum review will help in designing the training enabling collaboration in interdisciplinary topics and teams. An important part of this initial diagnosis is the gathering of knowledge on the non-academic partners which conduct applied research in their fields (education, location-based services, and eye tracking research) on their needs concerning methodological knowledge of successful job applicants (new employees).

Program and handouts for eye tracking data handling, statistics with exemplary R and python code (öffnet in neuem Fenster)

The WP4 starts with the diagnosis of the current DCs knowledge about empirical research methodology, data management, and statistical modeling. This step is necessary bearing in mind differences in curriculum of undergraduate and graduate programs between various disciplines, in this case, mainly computer and social sciences. Identification of methodological knowledge gaps and strengths, as well as the existing standard curriculum review will help in designing the training enabling collaboration in interdisciplinary topics and teams. An important part of this initial diagnosis is the gathering of knowledge on the non-academic partners which conduct applied research in their fields (education, location-based services, and eye tracking research) on their needs concerning methodological knowledge of successful job applicants (new employees).

Program on transferable skills at Winter School 2 and students’ handouts (öffnet in neuem Fenster)

Program on transferable skills at Winter School 2 and students handouts

Program of intermediate concepts of eye tracking computational modeling at Winter School 1 and students’ handouts (öffnet in neuem Fenster)

Training activities will cover the following methods for computational modeling relevant to eye-tracking research and applications: Classification and regression models, deep and recurrent neural network models, representation learning, applications of computational modeling on low and high-end hardware, Egocentric Computer Vision, software tools and toolkits for model training and evaluation (e.g. PyTorch, scikit learn etc), Machine learning for signal processing. In addition, the consortium will organize a hackathon as part of the training activities in computational modeling. The training activity will focus on practical applications of modern ML toolkits for real-time applications, while the data will be provided from the consortium partners.

Program on transferable skills at Winter School 1 and students’ handouts (öffnet in neuem Fenster)

Program on transferable skills at Winter School 1 and students handouts

Risk register 2 (öffnet in neuem Fenster)

Risk register

Risk register 1 (öffnet in neuem Fenster)

Risk register

Program of advanced concepts of eye tracking computational modeling at Winter School 2 and students’ handouts (öffnet in neuem Fenster)

Training activities will cover the following methods for computational modeling relevant to eye-tracking research and applications: Classification and regression models, deep and recurrent neural network models, representation learning, applications of computational modeling on low and high-end hardware, Egocentric Computer Vision, software tools and toolkits for model training and evaluation (e.g. PyTorch, scikit learn etc), Machine learning for signal processing. In addition, the consortium will organize a hackathon as part of the training activities in computational modeling. The training activity will focus on practical applications of modern ML toolkits for real-time applications, while the data will be provided from the consortium partners.

Veröffentlichungen

Towards gaze-supported emotion-enhanced travel experience logging (öffnet in neuem Fenster)

Autoren: Wang, Y., Raubal, M., & Kiefer, P.
Veröffentlicht in: Proceedings of the 18th International Conference on Location Based Services., 2023
DOI: 10.34726/5753

A Review of Eye Tracking in Advanced Driver Assistance Systems: An Adaptive Multi-Modal Eye Tracking Interface Solution (öffnet in neuem Fenster)

Autoren: Filippo Baldisserotto, Krzysztof Krejtz, Izabela Krejtz
Veröffentlicht in: ETRA '23: Proceedings of the 2023 Symposium on Eye Tracking Research and Applications, 2023, ISBN 9798400701504
Herausgeber: Association for Computing Machinery
DOI: 10.1145/3588015.3589512

Reviewing the Social Function of Eye Gaze in Social Interaction (öffnet in neuem Fenster)

Autoren: Mehtap Çakır, Anke Huckauf
Veröffentlicht in: ETRA '23: Proceedings of the 2023 Symposium on Eye Tracking Research and Applications, 2023, ISBN 9798400701504
Herausgeber: Association for Computing Machinery
DOI: 10.1145/3588015.3589513

Eye Tracking as a Source of Implicit Feedback in Recommender Systems: A Preliminary Analysis (öffnet in neuem Fenster)

Autoren: de Leon-Martinez, Santiago; Moro, Robert; Bielikova, Maria
Veröffentlicht in: 2023 Symposium on Eye Tracking Research and Applications (ETRA '23), 2023, ISBN 9798400701504
Herausgeber: Association for Computing Machinery
DOI: 10.1145/3588015.3589511

SUPREYES: SUPer Resolutin for EYES Using Implicit Neural Representation Learning (öffnet in neuem Fenster)

Autoren: Chuhan Jiao, Zhiming Hu, Mihai Bace, Andreas Bulling
Veröffentlicht in: Proc. ACM Symposium on User Interface Software and Technology (UIST), 2023
Herausgeber: ACM DIGITAL LIBRARY
DOI: 10.1145/3586183.3606780

Towards Personalized Pedestrian Route Recommendation Based on Implicit Visual Preference (öffnet in neuem Fenster)

Autoren: Che, L., Raubal, M., & Kiefer, P.
Veröffentlicht in: Proceedings of the 18th International Conference on Location Based Services., 2023
DOI: 10.34726/5639

Eye tracking based detection of mild cognitive impairment: A review (öffnet in neuem Fenster)

Autoren: Hasnain Ali Shah, Salman Khalil, Sami Andberg, Anne M. Koivisto, Roman Bednarik
Veröffentlicht in: Information Fusion, Ausgabe 122, 2025, ISSN 1566-2535
Herausgeber: Elsevier BV
DOI: 10.1016/J.INFFUS.2025.103202

A Multimodal Approach for Early Identification of Mild Cognitive Impairment and Alzheimer’s Disease With Fusion Network Using Eye Movements and Speech (öffnet in neuem Fenster)

Autoren: Hasnain Ali Shah, Sami Andberg, Anne M. Koivisto, Roman Bednarik
Veröffentlicht in: IEEE Transactions on Neural Systems and Rehabilitation Engineering, Ausgabe 33, 2025, ISSN 1534-4320
Herausgeber: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/TNSRE.2025.3561043

Suche nach OpenAIRE-Daten ...

Bei der Suche nach OpenAIRE-Daten ist ein Fehler aufgetreten

Es liegen keine Ergebnisse vor

Mein Booklet 0 0