Project description
For future homes with smart assistance
Living in a familiar home environment is crucial for the well-being of older individuals, particularly when they experience memory loss. While current technologies have the potential to greatly assist elderly persons living alone, there is still a lack of high-tech solutions specifically tailored to meet their unique needs. The EU-funded CAPTAIN project aims to address this gap by developing the first universal assistance system for older adults. This system seeks to compensate for their physical and memory deficiencies in daily living by introducing a groundbreaking Human-Computer Interface appliance that utilises micro-projectors and projected augmented reality. By employing smart home appliances, the project aims to transform a home into an interactive interface, making it easy for older people to access support.
Objective
Older adults typically prefer living at their homes as long as possible. However, they often need to be institutionalized due to the age related problems. Homecare can benefit today from a range of existing technologies including smartphones, sensors, etc., however, their effectiveness is limited by the sense of fear and uncomfortableness that many older adults feel. Most current technologies, in fact, are often not designed for older adults, least of all for users with memory impairments. The derivative limitations become a major barrier, severely limiting use of technological assistance in a home environment. CAPTAIN proposes a “transparent” technology designed to turn the home of the older adult into a ubiquitous assistant specifically designed to compensate for their physical and memory impairments during their daily living. To do so, it leverages on a few state of the art technologies, as follows: “Projected augmented reality” to project, through use of micro-projectors, contextualised (directly on walls, floor, tables, etc.) information and instructions on top of the real environment. Real-time 3D sensing technologies to comprehend the “indoor space” (nature and position of objects and actions of the persons) and to allow transforming it into a ubiquitous tangible interface. 3D sensing, together with speech analysis, will allow device-free comprehension of the environment and of the behaviour of the adults (including its changes). Non-invasive physiological and emotional data analysis from facial micro-expressions and human body pose thanks to scalable, robust, and accurate deep learning and artificial intelligence. The coach will leverage on a motivational engine to promote correct nutrition, physical activity, cognitive and physical training, risk avoidance, and social participation. To achieve this CAPTAIN will foster a truly user-centered co-design philosophy -based on constant involvement of older adult in the design, development, and testing stages.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- natural sciencescomputer and information sciencesinternetinternet of things
- natural sciencescomputer and information sciencessoftwaresoftware development
- engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationsmobile phones
- natural sciencescomputer and information sciencesartificial intelligencemachine learningdeep learning
- natural sciencescomputer and information sciencessoftwaresoftware applicationssimulation software
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Programme(s)
Call for proposal
(opens in new window) H2020-SC1-2016-2017
See other projects for this callSub call
H2020-SC1-2017-CNECT-1
Funding Scheme
RIA - Research and Innovation actionCoordinator
546 36 THESSALONIKI
Greece