Dem@care Project Short Overview

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ICT applied to Neurodegenerative Diseases

This material was presented in the 25th European Congress of Psychiatry which was organised by the European Psychiatry Association in Florence, Italy from 1-4th April 2017. I had access to the material as I attended the full Congress. Please note that this material remains the intellectual property of the European Psychiatry Association and its authors and any citation should include a full reference to it. For more information on the EPA and how to become a member, please visit: http://www.europsy.net/

THE ICT4LIFE PROJECT DESIGN AND DEVELOPMENT OF A NEW INFORMATION TECHNOLOGY P...

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This is a presentation on Sensor Based Ambient Assisted Living architecture and approaches developed by the Multimedia Knowledge and Social Media Analytics Lab of CERTH-ITI. It includes sensors used for monitoring Activities of Daily Living of elders and persons with mild Dementia at home. Visual and sensor data analytics are combined with formal representations (ontology), fusion, reasoning techniques and visualizations in order to provide an objective view of everyday activities. Example projects and pilots are included. Clinical assessment show improvement in cognitive abilities of participants.

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Ambient Intelligence is an emerging discipline that brings intelligence to our living environments, makes those environments sensitive to us, and adapt according to the user’s needs. By enriching an environment with appropriate sensors and interconnected devices, the environment would be able to sense changes and support decisions that benefit the users of that environment. Such smart environments could help to reduce the energy consumption, increase user’s comfort, improve security and productivity, etc. One specific area of interest is the application of ambient intelligence in Ambient Assisted Living, where the home environment provides assistance with daily living activities for people with disabilities. In my presentation, I will provide a review of the technologies and environments that comprises ambient intelligence, as well as how changes in the environment are reflected in the overall design of an adaptive ambient intelligence environment.

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The three Finalists were: *WEKIT — Wearable Experience for Knowledge Intensive Training — pitch by Paul Lefrere, Innovation Lead *Sapien Labs (WINNER) — pitch by Tara Thiagarajan, Founder & Chief Scientist *MyndYou — pitch by Shira Yama Nir, Project Manager *Judged by: Bill Tucker, Senior Advisor to the K12 Education Program at the Bill & Melinda Gates Foundation; Eduardo Briceño, CEO and Co-founder of Mindset Works; John Cammack, Angel Investor; Neil Allison, Director of Business Model Innovation at Pearson North America *Álvaro Fernández, CEO and Editor-in-Chief of SharpBrains *Sarah Lenz Lock, Senior Vice President for Policy at AARP and Executive Director of the Global Council on Brain Health (GCBH) *Dr. April Benasich, Director of the Baby Lab at the Rutgers Center for Molecular and Behavioral Neuroscience *Chaired by: Dr. Cori Lathan, Co-Chair of the World Economic Forum’s Council on the Future of Human Enhancement Slidedeck supporting session held during the 2017 SharpBrains Virtual Summit: Brain Health & Enhancement in the Digital Age (December 5-7th). Learn more at: https://sharpbrains.com/summit-2017/

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In an economy where markets are drying up left and right, there’s one market that we can guarantee will only grow: The Aging & Technology Industry. This year alone, 7000 boomers will turn 65 every day while demanding a NEW and sustainable “AGING IN PLACE” model of care. Delivered by a true integration expert, the solution combines standard home automation and smart home technologies – complete with wireless tele-medicine, brain fitness and socialization features. Learn about the future of aging and technology, why you should get involved and how to start. Presentation by Laura Mitchell, GrandCare\'s VP Marketing, at CEDIA 2011 Panelists: Jim Gleason, Peter Radsliff

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ICT applied to Neurodegenerative Diseases

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SIGMAP22 Keynote Presentation: Social media have transformed the Web into an interactive sharing platform where users upload data and media, comment on, and share this content within their social circles. The large-scale availability of user-generated content in social media platforms has opened up new possibilities for studying and understanding real-world phenomena, trends and events. Social media and websites provide an access to public opinions on certain aspects and therefore play an important role in getting insights on targeted audiences. The objective of this talk is to provide an overview of social media mining, including key aspects such as data collection, multimodal analysis and visualization. Challenges, such as fighting misinformation, will be presented together with applications, results and demonstrations from multiple areas including: news, environment, security, interior and urban design.

From Research to Applications: What Can We Extract with Social Media Sensing?

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AI4Media - European Leadership in Human-Centred Trustworthy AI session

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Social media have transformed the Web into an interactive sharing platform where users upload data and media, comment on, and share this content within their social circles. The large-scale availability of user-generated content in social media platforms has opened up new possibilities for studying and understanding real-world phenomena, trends and events. The objective of this talk is to provide an overview of social media mining, which offers a unique opportunity to to discover, collect, and extract relevant information in order to provide useful insights. It will include key challenges and issues, such as fighting misinformation, data collection, analysis and visualization components, applications, results and demos from multiple areas ranging from news to environmental and security ones.

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Invited talk at the Ninth International Conference on Image Processing Theory, Tools and Applications IPTA 2019 (http://www.ipta-conference.com/ipta19/) Crises and natural disasters are unwelcome, but also unavoidable features of modern society, affecting more communities than ever. Visual information analysis plays an important role in efficient pre-event (e.g. risk modeling), during the event (response) and post-event (recovery) emergency situation management. This talk will describe the potential role of visual information sources including satellite images, surveillance and traffic cameras, social multimedia and aerial video in applications such as floods, fires, and oil spills. Multimodal and fusion techniques will be presented combining satellite and social data and how deep neural networks can be applied in this domain. The talks will include demos and results from the relevant BeAware and EOPEN projects and from our participation in the 2018 Multimedia Satellite Task of the MediaEval Benchmarking Initiative.

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This work presents DemaWare, an Ambient Intelligence platform that targets Ambient Assisted Living for people with Dementia. DemaWare seamlessly integrates diverse hardware (wearable and ambient sensors), as well as soft- ware components (semantic interpretation, reasoning), involved in such context. It also enables both online and offline processes, including sensor analysis and storage of context semantics in a Knowledge Base. Consequently, it orchestrates semantic interpretation which incorporated defeasible logics for uncertainty handling. Overall, the underlying functionality aids clinicians and carers to timely assess and diagnose patients in the context of lab trials, homes or nursing homes.

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Παρουσιάζονται παραδείγματα και αποτελέσματα του Εργαστηρίου Γνώσης, Πολυμέσων και Ανάλυσης Κοινωνικών Δικτύων του ΕΚΕΤΑ-ΙΠΤΗΛ (http://mklab.iti.gr) που αφορούν εφαρμογές που υποστηρίζουν τη συμμετοχή των πολιτών σε τομείς όπως: Αυτο-οργάνωση εθελοντικών κινημάτων, Συλλογική καταγραφή προβλημάτων, Συμμετοχή στη διαχείριση προβλημάτων και δημοσίου χώρου, Σχεδιασμό σε μελλοντικές δράσεις και έργα στην πόλη. Η παρουσίαση δόθηκε στα πλαίσια του συνεδρίου "Μια πόλη από το μέλλον", που διοργανώθηκε από την Παράλλαξη: http://www.parallaximag.gr/parallax-view/elate-na-deite-mia-poli-apo-mellon

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The keynote discusses a framework enabling real-time multimedia indexing and search across multiple social media sources. It places particular emphasis on the real-time, social and contextual nature of content and information consumption in order to integrate topic and event detection, mining, search and retrieval, based on aggregation and indexing of shared user-generated multimedia content. User-friendly applications for the News and Events domains have been developed based on these approaches, incorporating novel user-centric media visualisation and browsing methods. The research and development is part of the FP7 EU project SocialSensor. Content: Introduction Motivation – Challenges SocialSensor Project and Use Cases Research Approaches Large-Scale visual search Clustering Verification Demos – Applications MM News Demo Clusttour Thessfest Conclusions

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Η ομιλία περιλαμβάνει εφαρμογές τεχνικών αναγνώρισης προτύπων και μηχανικής μάθησης σε ανάλυση πολυμέσων και κοινωνικών δικτύων. Πιο συγκεκριμένα, θα παρουσιαστούν τεχνικές και εφαρμογές κατάτμησης εικόνων με χρήση Κ-Μέσων και επεκτάσεων, χρήση Support Vector Ma-chines για μάθηση εννοιών σε εικόνες καθώς και τεχνικές ανάλυσης γράφων από κοινωνικά δίκτυα. Θα παρουσιαστούν σχετικές εφαρμογές που αξιοποιούν τα αποτελέσματα της ανάλυσης, όπως αναζήτηση πολυμέσων και εφαρμογή για τουρισμό και ενημέρωση από κοινωνικά δίκτυα. Θα αναφερθούν τρέχοντα ερευνητικά προβλήματα και περιοχές.

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Yiannis Kompatsiaris

In this talk, research and applications in social media mining and multimedia analysis are going to be presented. Social media sharing websites host billions of images and videos, which have been annotated and shared among friends, or published in groups that cover a specific topic of interest. The fact that users annotate and comment on the content in the form of tags, ratings, preferences and so on, and that these activities are performed on a daily basis, gives such social media data source an extremely dynamic nature that reflects topics of interests, events and the evolution of community opinion and focus. The talk will present research challenges and activities and will focus on multi-modal graph-based community detection methods for social media mining, concept and event detection. Clusttour, a mobile and web application integrating research results with appropriate interface design will be demonstrated as a relevant use case. The talk will also include approaches for object/region classifiers learned using the self-training paradigm with loosely annotated training samples automatically selected from social media.

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