Francisco (Paco) Florez-Revuelta

Professor,
Coordinator of visuAAL Marie-Skłodowska-Curie ITN,
Chair of GoodBrother COST Action

Biography

Francisco Florez-Revuelta is a Professor at the Department of Computer Technology, University of Alicante (Spain), where he leads the Research Group on Ambient Intelligence for Active and Healthy Ageing (AmI4AHA). His main research work is focused on active assisted living: intelligent environments, computer vision, and support to older and/or disabled people. He is currently the coordinator of visuAAL – Privacy-Aware and Acceptable Video-Based Technologies and Services for Active and Assisted Living, a Marie Sklodowska-Curie Innovative Training Network. He is also the Chair of the GoodBrother COST Action – International Network on Privacy-Aware Audio- and Video-Based Applications for Active and Assisted Living.

Keynote speech title

Trustworthy video-based solutions for active and healthy ageing

Abstract

Europe is facing crucial health and social care challenges due to the demographic shift towards an ageing population and related economic impact from increased provision of care. Innovation in Active and Assisted Living (AAL) solutions has the potential to address these healthcare and social demands while profiting from the economic opportunities driven by the Silver Economy. Advances in computer vision have given video cameras the ability of ‘seeing’, evolving their functionality to become ‘smart cameras’. However, the monitoring using cameras can be seen as intrusive and violating rights to privacy, because of the concern that raw video images could be observed by unauthorised viewers or stored for inappropriate use. Acceptance of such technologies is also low because they create a sense of Orwellian “Big Brother” surveillance. This talk will present the latest developments in two international research projects, visuAAL and GoodBrother, on the design of trustworthy solutions to support older, impaired, and frail people in their daily life as well as on the ethical, legal, social, and privacy issues associated to video-based monitoring in private spaces.