Deep AR Law Enforcement Ecosystem

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

Project website and social networks

A first version of the project website will be launched before the end of M3 along with social network accounts which will be created and maintained active Both website and social network accounts will be constantly updated throughout the lifetime of the project

DARLENE platform handbook and tutorial content - 2nd version

This deliverable will consist of a printed manual and interactive application for both PC and mobile plat-forms, to be distributed to instructors, trainees and interested end-users. This will be the final version of the deliverable.

DARLENE platform handbook and tutorial content - 1st version

This deliverable will consist of a printed manual and interactive application for both PC and mobile platforms to be distributed to instructors trainees and interested endusers It will be updated in M25

Publications

DARLENE – Improving situational awareness of European law enforcement agents through a combination of augmented reality and artificial intelligence solutions

Auteurs: Konstantinos C. Apostolakis; Nikolaos Dimitriou; George Margetis; Stavroula Ntoa; Dimitrios Tzovaras; Constantine Stephanidis; Constantine Stephanidis
Publié dans: Open Research Europe, Numéro 1, 2022, ISSN 2732-5121
Éditeur: Directorate-General for DG RTD
DOI: 10.12688/openreseurope.13715.1

Real-Time Stress Level Feedback from Raw Ecg Signals for Personalised, Context-Aware Applications Using Lightweight Convolutional Neural Network Architectures

Auteurs: Konstantinos Tzevelekakis; Zinovia Stefanidi; George Margetis
Publié dans: Sensors (Basel, Switzerland), Numéro 1, 2021, Page(s) 7802, ISSN 1424-8220
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s21237802

Augmented Reality in Law Enforcement from an EU Data Protection Law Perspective: The DARLENE Project as a Case Study

Auteurs: Katherine Quezada Tavárez
Publié dans: International Review of Penal Law, 2021, Page(s) 69-86, ISSN 0223-5404
Éditeur: Eres Publishers

Real-Time Adaptation of Context-Aware Intelligent User Interfaces, for Enhanced Situational Awareness

Auteurs: Z. Stefanidi, G. Margetis, S. Ntoa and G. Papagiannakis
Publié dans: IEEE Access, Numéro 10, 2022, Page(s) 23367-23393, ISSN 2169-3536
Éditeur: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2022.3152743

Untangling the cyber norm to protect critical infrastructures

Auteurs: Triantafyllos Kouloufakos
Publié dans: Computer Law & Security Review, 2023, ISSN 0267-3649
Éditeur: Pergamon Press Ltd.
DOI: 10.1016/j.clsr.2023.105809

Real-Time Activity Recognition for Surveillance Applications on Edge Devices

Auteurs: Vasilios Tsinikos, Ioannis Pastaltzidis, Iason Karakos Dimitriou, Dimitrios Tzovaras, Constantine Stephanidis, Katerina Valakou, George Margetis
Publié dans: PETRA '23: Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments, 2023
Éditeur: PETRA
DOI: 10.1145/3594806.3594823

Responsible innovation in Multidisciplinary Research and Innovation Projects: Moving from Principle to Practice

Auteurs: Stergios Aidinlis, Agata Gurzawska
Publié dans: The ISPIM Innovation Conference – Innovating Our Common Future, 2021, ISBN 978-952-335-467-8
Éditeur: ProQuest

The DARLENE XR platform for intelligent surveillance applications

Auteurs: Christos Ntoumanopoulos, Efstathia Martinopoulou, Iason Karakostas, Nikolaos Dimitriou, Dimitrios Tzovaras
Publié dans: PETRA '23: Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments, 2023
Éditeur: PETRA
DOI: 10.1145/3594806.3594821

Data augmentation for fairness-aware machine learning: Preventing algorithmic bias in law enforcement systems

Auteurs: Ioannis Pastaltzidi, Nikolaos Dimitriou, Dimitrios Tzovaras, Katherine Quezada-Tavarez, Stergios Aidinlis, Thomas Marquenie, Agata Gurzawska
Publié dans: FAccT ‘22: 2022 ACM Conference on Fairness, Accountability, and Transparency, 2022
Éditeur: FAccT ‘22: 2022 ACM Conference on Fairness, Accountability, and Transparency
DOI: 10.1145/3531146.3534644

Context Driven MEC Resource Allocation for Time-Critical AR Applications

Auteurs: Savvas I. Raptis, Iason Karakostas, Nikolaos Dimitriou, Dimitrios Tzovaras
Publié dans: 9th IEEE WF-IoT, 2023
Éditeur: 9th IEEE WF-IoT

Augmentation based on artificial occlusions for resilient instance segmentation

Auteurs: Nikolaos Kilis, Grigorios Tsipouridis, Iason Karakostas, Nikolaos Dimitriou, Dimitrios Tzovaras
Publié dans: ICIAP2023, 2023, ISBN 978-3-031-43153-1
Éditeur: ICIAP2023

Enabling X-ray vision via multi-camera fusion for AR applications

Auteurs: Pastaltzidis Ioannis, Karakostas Iason, Dimitriou Nikolaos, Tzovaras Dimitrios
Publié dans: 20th EuroXR International Conference - Rotterdam, Netherlands, 2023
Éditeur: VTT Technical Research Centre of Finland

Data Protection Impact Assessments in Law Enforcement

Auteurs: Thomas Marquenie, Katherine Quezada-Tavárez
Publié dans: IEEE, Security Technologies and Social Implications, 2023, ISBN 9781119834168
Éditeur: Wiley-IEEE Press
DOI: 10.1002/9781119834175.ch2

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