Call for Papers

Increased life expectancy and decreased birth rates are challenging developed countries worldwide, with a rapidly growing elderly population, and a declining workforce. These two contextual phenomena are generating new needs, as ageing increases the probability of developing physical and cognitive impairments, requiring new and more effective ways to provide support and care. The Internet of Things may provide significant enhancement to the quality of life for the elderly and, in general, people in need, bringing new algorithms, architectures and platforms into Active and Assisted Living (AAL), to develop new and innovative approaches. A peculiar aspect of IoT relies in enabling the collection of massive amounts of data, generated from physical and virtual sensors, things, smart objects and users. As such, IoT is totally functional to AAL, with the pervasive collection of environmental and personal data related to the monitored subject, and their processing, aimed at generating information to be used in different types of applications, from behavioral analysis, to gesture and action recognition, to fall prevention and detection, to human-machine interaction, just to mention a few.

This workshop aims at investigating the close relationship between IoT and AAL, in a data-oriented perspective, and at different layers: from the technologies enabling sensor data collection, to the communication architectures needed to support data transfer, to the reasoning techniques applied to data, in order to generate the information upon which AAL services and functionalities are built.

Among the topics of interest, a non-exhaustive list includes:

·         use of emerging networking, sensing and tracking technologies for AAL

·         IoT enabled signal acquisition, analysis, and processing for activity identification and recognition in AAL

·         low power communication technologies

·         green IoT and sustainable solutions for AAL

·         cloud and mobile cloud architectures supporting AAL through IoT

·         privacy-preserving data processing techniques

·         big data, analytics, and signal processing for AAL enabled by an IoT approach

·         machine learning to enable AAL services

·         datasets to enable benchmarking of machine learning algorithms for AAL applications

·         new design paradigms in human-machine interaction for AAL

·         smart and sustainable IoT solutions for AAL

·         implementation of Social IoT for AAL

·         sensor webs and AAL

·         semantic web of things for AAL

·         distributed sensing and alarming technologies for AAL

·         smart interfaces for AAL

·         user-adapted interaction with AAL smart objects

·         models of context and context awareness

·         IoT applications, systems, and testbeds for AAL

·         IoT for AAL devices and accessibility

·         Future directions in IoT for AAL

Workshop website: http://www.tlc.dii.univpm.it/iotaalms/iotaal2017/



Organizing Committee


Susanna Spinsante (UniversitàPolitecnicadelle Marche – ITALY)

IlknurCelik (Middle East Technical University, Northern Cyprus Campus – TURKEY)

Ilaria Torre (University of Genoa – ITALY)


Technical Program Co-Chair

EnnioGambi (UniversitàPolitecnicadelle Marche – ITALY)

LambrosLambrinos (Cyprus University of Technology – CYPRUS)

CiprianDobre (University Politehnica of Bucharest –ROMANIA)


Publicity Co-Chairs

EneaCippitelli (UniversitàPolitecnicadelle Marche, ITALY)

Laura Montanini (UniversitàPolitecnicadelle Marche, ITALY)


Technical Program Committee

Claudio Enrico Palazzi (UniversitàdegliStudi di Padova - ITALY)

Ahmed Abdelgawad (Central Michigan University - USA)

Nuno Garcia (University of Beira Interior - PORTUGAL)

Andrea Barbaresi (Telecom Italia SpA – Italy)

Igor Bisio (University of Genoa – ITALY)

Dirk Ahlers (NTNU - Norwegian University of Science and Technology, Trondheim - NORWAY)

Emanuele Principi (UniversitàPolitecnicadelle Marche - ITALY)

An Braeken (VrijeUniversiteit Brussel – BELGIUM)

Emmanuel Conchon (University of Toulouse – FRANCE)

Stefano Squartini (UniversitàPolitecnicadelle Marche - ITALY)

Chris Nugent (Ulster University - UK)

Martin Jacobsson (KTH Royal Institute of Technology - SWEDEN)

Franco Davoli (University of Genoa - ITALY)

ConstandinosMavromoustakis (University of Nicosia – CYPRUS)

AlbenaMihovska (Aalborg Universitet – DENMARK)

Laura Montanini (UniversitàPolitecnicadelle Marche – ITALY)

Ariel Stulman (Jerusalem College of Technology – ISRAEL)

Javier Medina Quero (University of Granada - SPAIN)

KatarzynaWac (University of Geneva – SWITZERLAND)

Lucio Ciabattoni (UniversitàPolitecnicadelle Marche - ITALY)

Jonathan Synnott (Ulster University - UK)

Paolo Sernani (UniversitàPolitecnicadelle Marche - ITALY)

Macarena EspinillaEstévez (University of Jaen - SPAIN)

Thomas Plagemann (University of Oslo – NORWAY)

Aldo Franco Dragoni (UniversitàPolitecnicadelle Marche - ITALY)

Thomas Zinner (University of Wurzburg - GERMANY)

Paper Submission Guidelines

All final submissions should be written in English with a maximum paper length of six (6) printed pages see web conference for instructions. Papers must be submitted through EDAS.


Important Dates

Paper submission deadline: March 7th, 2017

Acceptance Notification: March 31, 2017

Camera-Ready Paper Submission: April 30, 2017


Accepted and presented papers will be published in the conference proceedings and submitted to IEEE Xplore