CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.
Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .
Resultado final
By adding new games to our pipeline we are able to offer richer quests and challenges experiences
Challenge feed recommendation system (se abrirá en una nueva ventana)Our existing RecSys project is reconverted and improved to support quests and challenges engagement
Wallet supports the 3 major blockchains (se abrirá en una nueva ventana)Continuous effort of adding multiple blockchains / wallets supported
PC configurations management (se abrirá en una nueva ventana)PC configurations management (continuous)
Integration of 30 detection models on PC (se abrirá en una nueva ventana)PC app supports 30 detection models
Integration of 20 detection models on PC (se abrirá en una nueva ventana)Integration of 20 AI detection models to our PC app
Onboarding discovery (se abrirá en una nueva ventana)The user experience of quests and challenges is optimised on mobile
Setting up a process for prototype testing (se abrirá en una nueva ventana)Industrialising our prototype testing
Continuous improvements on PC video recorder CPU & GPU usage (se abrirá en una nueva ventana)Reduce CPU GPU usage on the users devices
Production launch and nominal operation on PC (se abrirá en una nueva ventana)Crypto wallet is launched on our PC app at nominal operations
Digital assets marketplace test release (se abrirá en una nueva ventana)In-app test release
Partners due diligence and selection (Crypto wallet) (se abrirá en una nueva ventana)We identify audit and select one or multiple crypto wallet partners
Leaderboard launch (se abrirá en una nueva ventana)A leaderboard where users can see their ranking compared to other participants to quests and challenges is relased
Integration of 15 detection models on PC (se abrirá en una nueva ventana)PC app supports 15 detection models
Security and implementation testing (se abrirá en una nueva ventana)Security is critical when handling users assets
Reaching 80% fidelity in new models detection (se abrirá en una nueva ventana)Reaching high levels of fidelity in the new games added to the model
Improvement on the delays to create an integrate new models for new games (se abrirá en una nueva ventana)In the perspective of scaling our user base, scaling our approach becomes critical
Optimisation of video resolution (se abrirá en una nueva ventana)Optimisation of video resolution for external sharing
Redesign of the user profile to highlight rewards PC (se abrirá en una nueva ventana)Redesign of the user profile to highlight rewards user library
Guaranteeing efficient R&D activities (se abrirá en una nueva ventana)Ensuring an high level view of all R&D activities all along the project timeline
Redesign of the user profile to highlight rewards Mobile (se abrirá en una nueva ventana)The user profile is redesigned fully to offer a consistent and enjoyable app experience
Reduce crash rate (se abrirá en una nueva ventana)reduce the crash rate to 5 to offer a seamless experience
Digital assets marketplace product release (se abrirá en una nueva ventana)Product release in the public app
Set up of automatic bots to share clips, achievements, etc. with other users (se abrirá en una nueva ventana)Distribution set up of automatic bots to share clips achievements etc with other users
"PhD research thesis ""Analysis of human behavior from video games using deep learning approaches"" (due in 36 months)"
Crypto wallet is launched on our mobile app at nominal operations
Quests launch on mobile thanks to the mobile recorder rebuild (se abrirá en una nueva ventana)Quests individual challenges are released on mobile
Reach 100k Discord users on Powder servers / using the Powder discord bot
Publicaciones
Autores:
Liam Schoneveld, Alice Othmani, Hazem Abdelkawy
Publicado en:
Pattern Recognition Letters, 2021, ISSN 0167-8655
Editor:
Elsevier
DOI:
10.1016/j.patrec.2021.03.007
Autores:
H. Terbouche, L. Schoneveld, O. Benson, A. Othmani
Publicado en:
IEEE Access, Edición Volume 10, pp. 41622-41638, 2022, ISSN 2169-3536
Editor:
IEEE Access
DOI:
10.1109/ACCESS.2022.3164745
Autores:
L. Schoneveld, A. Othmani
Publicado en:
2021 IEEE International Conference on Image Processing (ICIP), Edición 2339-2342, 2021, ISSN 2381-8549
Editor:
IEEE Computer Society
DOI:
10.1109/ICIP42928.2021.9506025
Autores:
Hacene Terbouche, Maryan Morel, Mariano Rodriguez, Alice Othmani
Publicado en:
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2023, ISSN 3142-3151
Editor:
IEEE/CVF (Computer Vision Foundation)
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