EU Face Advanced Communication for Elders Treasuring in Society
EUFACETS develops a family-oriented social network app to reconnect elders with their past and relatives by digitalizing analog photos and sharing stories, enhancing intergenerational connections.
Projectdetails
Introduction
EUFACETS aims at maximising the value of the ERC Consolidator Project FACETS by developing a family-oriented social network app based on visage. Some faces were excluded from the forced digitalization of all faces due to the increasing digitalisation of our lives, accelerated by the Covid-19 pandemic: those of the elders.
Background
The pandemic was just underlining an already existing issue: face-based social networks have been designed by young people for young people. They focus on connecting people who are distant in space but fail to connect people who are distant in time.
Problem Statement
They help individuals treasure and share their own memories, those attached to digital pictures and selfies, yet they are oblivious of memories that are enshrined in pre-digital photographs.
Project Objectives
EUFACETS aims to alleviate this issue by developing an app establishing a new family-oriented social network based on visage. Through the app, members of extended families will be able to:
- Digitalize analog pictures.
- Send them in digital form to the elder, who will then be able to tell a story about the picture.
- Make the story available to the family, allowing them to listen to it and integrate it with secondary narratives.
Features
Finally, through facial recognition and artificial intelligence, the app will:
- Suggest automatic identification of visages photographed in subsequent pictures.
- Facilitate the reconstruction of the narrative.
Vision
The solution will grow around the elders, with the only purpose of reconnecting them with their distant relatives, friends, and acquaintances, as well as with the pre-digital past of their visage. This is done without any logics of commodification and control, standardization, and commercial exploitation underlying existing face-based digital platforms.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 150.000 |
Totale projectbegroting | € 150.000 |
Tijdlijn
Startdatum | 1-6-2023 |
Einddatum | 31-12-2024 |
Subsidiejaar | 2023 |
Partners & Locaties
Projectpartners
- UNIVERSITA DEGLI STUDI DI TORINOpenvoerder
- FONDAZIONE BRUNO KESSLER
Land(en)
Vergelijkbare projecten binnen European Research Council
Project | Regeling | Bedrag | Jaar | Actie |
---|---|---|---|---|
Facial Recognition Technologies. Etho-Assemblages and Alternative FuturesThe fAIces project explores the implications of facial recognition technologies by integrating diverse perspectives to expand ethics and foster public engagement and alternative futures. | ERC Advanced... | € 2.467.635 | 2025 | Details |
Understanding and embracing artificial agents’ impact on the social dynamics of familiesF-AI-MILY explores how family dynamics are influenced by long-term interactions with artificial agents, aiming to enhance well-being and support households dealing with chronic illness through innovative research methods. | ERC Starting... | € 1.499.930 | 2024 | Details |
Virtual Embodied Reminiscence Therapy in Extended RealityVERTEX aims to enhance older adults' well-being through VR experiences of their youth, evaluating psychological impacts to support a scalable intervention and business spin-off. | ERC Proof of... | € 150.000 | 2024 | Details |
Human Face Identity Categorization: Bridging the Gap between Vision and Social SemanticsHUMANFACE aims to explore the integration of semantic memory and visual perception in face identity recognition through various experimental approaches, enhancing understanding of human categorization. | ERC Advanced... | € 2.499.851 | 2023 | Details |
Learning Digital Humans in MotionThe project aims to enhance immersive telepresence by using natural language to reconstruct and animate photo-realistic digital humans for interactive communication in AR and VR environments. | ERC Starting... | € 1.500.000 | 2025 | Details |
Facial Recognition Technologies. Etho-Assemblages and Alternative Futures
The fAIces project explores the implications of facial recognition technologies by integrating diverse perspectives to expand ethics and foster public engagement and alternative futures.
Understanding and embracing artificial agents’ impact on the social dynamics of families
F-AI-MILY explores how family dynamics are influenced by long-term interactions with artificial agents, aiming to enhance well-being and support households dealing with chronic illness through innovative research methods.
Virtual Embodied Reminiscence Therapy in Extended Reality
VERTEX aims to enhance older adults' well-being through VR experiences of their youth, evaluating psychological impacts to support a scalable intervention and business spin-off.
Human Face Identity Categorization: Bridging the Gap between Vision and Social Semantics
HUMANFACE aims to explore the integration of semantic memory and visual perception in face identity recognition through various experimental approaches, enhancing understanding of human categorization.
Learning Digital Humans in Motion
The project aims to enhance immersive telepresence by using natural language to reconstruct and animate photo-realistic digital humans for interactive communication in AR and VR environments.
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Haalbaarheidsproject Zorg voor ‘De Mens’ 2020
Het project onderzoekt innovatieve oplossingen voor dagbesteding en eenzaamheid bij jong dementerenden, met focus op technologie zoals beeldbellen en VR-therapie, om ondersteuning te bieden.
Timesteps: jouw externe geheugen dat jou door de dag begeleidt.
TimeSteps ontwikkelt twee gekoppelde apps voor mensen met dementie en hun mantelzorgers om zelfredzaamheid te vergroten en de kwaliteit van leven te verbeteren, met focus op technische en economische haalbaarheid.
PRESERVING USERS DATA PRIVACY AND SECURITY IN A FACIAL RECOGNITION SYSTEM
Dit project onderzoekt de toepassing van homomorfe encryptie voor veilige verwerking en opslag van gezichtsherkenningsdata, om privacyproblemen te verhelpen.
Blended Learning for Dementia
Tinqwise en TMVRS ontwikkelen een innovatief blended learning platform voor mentale gezondheidszorg, gericht op sociale cognitieve vaardigheden via interactieve VR-ervaringen met realistische gezichtsanimaties.
Autonoom context-aware IoT platform voor de ouderenzorg
Een autonoom IoT-platform wordt ontwikkeld om ouderen zonder indicatie veilig zelfstandig thuis te laten wonen, terwijl zorgverleners zich richten op ouderen met indicatie.