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3rd EAI International Conference on Smart Objects and Technologies for Social Good

November 29–30, 2017 | Pisa, Italy

Second “Smart Things for Active and Assisted Living (ST4AAL)” Special Session

Motivation of the Track:

Rapidly growing elderly population and declining workforce in developed countries, due to increased life expectancy and decreased birth rates, bring new challenges, as, with ageing, the probability of people developing physical and cognitive impairments increases. A strong need for new and more effective technologies and services to provide support and care, and to prolong independent living with acceptable Quality of Life, emerges. At the same time, new and emerging technologies may provide the tools to face the aforementioned challenges, like personalized care, quantified self, and lifelogging, based on the pervasive use of wearable devices. As in the first edition in 2016, this Special Session will focus on Smart Things for Active and Assisted Living, a domain that embraces both physical (wearable devices, smart objects of daily living) and virtual things (monitoring applications running on mobile devices, smart environments), designed according to a user-centred approach, for which several technological issues have to be tackled, such as sensing and communications capabilities, power supply, data security and reliability, but also other issues such as usability , acceptability, and willingness-to-use. The Special Session will welcome contributions from researchers and experts in the aforementioned areas, but also from professionals and practitioners, to provide an up-to-date view of the current research in the domain of Smart Things for AAL, availability of such Smart Things in the market, and future perspectives of this rapidly growing field.

Topics of the Track:

Topics of interest include but are not limited to:

  • Wearable Sensors and Smart Devices for AAL
  • Smart Homes and Living Environments Sensing and Communications in Smart Things for AAL
  • Smartphone Apps as Smart Things for AAL
  • Lifelogging: technologies, experiences, users’ acceptability
  • Signal Processing and Analysis
  • Machine Learning for Signal Processing
  • Intelligent Data Processing and Predictive Algorithms
  • Security, Safety and Privacy – proof Smart Things for AAL
  • Case studies of deployed Smart Things for AAL
  • User interfaces for Smart Things for AAL, usability and acceptability
  • Market perspectives for Smart Things for AAL
  • User-centred design of Smart Things for AAL
  • Impact assessment of Smart Things for AAL
  • Deployment of Smart Things for AAL


Susanna Spinsante – Dipartimento di Ingegneria dell’Informazione, Università Politecnica delle Marche (Ancona, IT)
Nuno Pombo - University of Beira Interior (Covilha, PORTUGAL)


Laura Montanini - Universita' Politecnica delle Marche (ITALY)
Ciprian Dobre – Polytechnic University of Bucarest (ROMANIA)

Technical Program Committee:

  • Lorena Rossi (INRCA - ITALY)
  • Christ Nugent (University of Ulster -UK)
  • John Gialelis (University of Patras – GREECE)
  • An Braeken (Vrije Universiteit Brussel – BELGIUM)
  • Ian Cleland (Ulster University – UK)
  • Jordi Mongay Batalla (National Institute of Telecommunications, Warsaw – POLAND)
  • Constandinos X. Mavromoustakis (University of Nicosia – CYPRUS)
  • Elena Apostol (University Politehnica of Bucharest – ROMANIA)
  • Antonio Del Campo (Universita’ Politecnica delle Marche – ITALY)
  • Roberta Bevilacqua (INRCA – Italy)
  • Massimo Zancanaro (FBK – Italy)
  • Francesco Fioranelli (University of Glasgow – UK)
  • Ennio Gambi (Universita’ Politecnica delle Marche – ITALY)
  • Nuno Garcia (University of Beira Interior - PORTUGAL)
  • Paolo Ciampolini (Università di Parma – Italy)
  • Henk Herman Nap (Vilans – The Netherlands)
  • Manola Ricciuti (Universita’ Politecnica delle Marche – ITALY)
  • Oresti Banos (University of Twente – NETHERLANDS)
  • Macarena Espinilla (University of Jaen – SPAIN)
  • Josef Hallberg (Lulea Technical University – SWEDEN)
  • Luis Castro (ITSON – MEXICO) Paolo Olivetti (INRCA – IT)