Ambient Assisted Living

Developed societies face severe demographic changes: the world is ageing at an unprecedented rate. In 2000, about 420 million people, or approximately 7 percent of the world’s population, were aged 65 or older. By 2050, that figure is expected to reach nearly 1.5 billion people, 16 percent of the world’s population. This demographic trend is followed by an increase of people with various degrees of impairments and health limitations. New challenges are being raised to the traditional systems of health care across EU. There is an urgent need for solutions that extend the time people can live actively and healthy in their preferred environment, by increasing their autonomy, self-confidence and mobility.

In the Ambient Assisted Living (AAL) area, we develop innovative ideas to address such challenges by integrating state-of-the-art artificial intelligence, machine learning and information security technologies towards effective, privacy-preserving non-intrusive assistive technologies, as well as sensor networks for environmental monitoring and multimodal human-computer interaction, targeting the development of ecosystems of products and services associated to business models and validated through large scale trials.

Researchers

Ongoing projects

PhD Thesis

Past projects

IRIS

International public funded projects

OLA

International public funded projects

VUK

International public funded projects,

Keywords

Ambient Assisted Living; impairments; special needs; architectonic barriers; healthy and active life.

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