3rd International Workshop on Internet of Things for Active and

3rd International Workshop on
Internet of Things for Active and Assisted Living
(IoTAAL)
In conjunction with IEEE Global IoT Summit 2017
6-9 June 2017, Geneva, SWITZERLAND
Workshop Co-Chairs
Call for Papers
Susanna Spinsante (Università
Politecnica delle Marche –
ITALY)
Ilknur Celik (Middle East
Technical University, Northern
Cyprus Campus – TURKEY)
Ilaria Torre (University of
Genoa – ITALY)
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.
According to the United Nations, the elderly, defined as people over
the age of 60, will make up 37% of the European population by 2050,
from 20% in 2000: this will put a dramatic pressure on public
welfare systems, and new ways of assistance and care delivery have
to be designed.
Technical Program Co-Chairs
Ennio Gambi (Università
Politecnica delle Marche –
ITALY)
Lambros Lambrinos (Cyprus
University of Technology –
CYPRUS)
Ciprian Dobre (University
Politehnica of Bucharest –
ROMANIA)
Keynote Speaker
TBA
Publicity Co-Chairs
Enea Cippitelli (Università
Politecnica delle Marche –
ITALY)
Laura Montanini (Università
Politecnica delle Marche –
ITALY)
Technical Program
Committee (TBC)
Claudio Enrico Palazzi
(Università degli Studi di
Padova – ITALY)
Ahmed Abdelgawad (Central
Michigan University – USA)
Nuno Garcia (University of
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
Beira Interior – PORTUGAL)
Andrea Barbaresi (Telecom
Italia SpA – Italy)
Dirk Ahlers (NTNU - Norwegian
University of Science and
Technology, Trondheim –
NORWAY)
Emanuele Principi (Università
Politecnica delle Marche –
ITALY)
An Braeken (Vrije Universiteit
Brussel – BELGIUM)
Emmanuel Conchon (University
of Toulouse – FRANCE)
Stefano Squartini (Università
Politecnica delle Marche –
ITALY)
Chris Nugent (Ulster University
– UK)
Martin Jacobsson (KTH Royal
Institute of Technology –
SWEDEN)
Franco Davoli (University of
Genoa – ITALY)
Constandinos Mavromoustakis
(University of Nicosia –
CYPRUS)
Albena Mihovska (Aalborg
Universitet – DENMARK)
Laura Montanini (Università
Politecnica delle Marche –
ITALY)
Ariel Stulman (Jerusalem
College of Technology –
ISRAEL)
Javier Medina Quero
(University of Granada –
SPAIN)
Katarzyna Wac (University of
Geneva – SWITZERLAND)
Lucio Ciabattoni (Università
Politecnica delle Marche –
ITALY)
Paolo Sernani (Università
Politecnica delle Marche –
ITALY)
Macarena Espinilla Estévez
(University of Jaen – SPAIN)
Thomas Plagemann (University
of Oslo – NORWAY)
Aldo Franco Dragoni
(Università Politecnica delle
Marche – ITALY)
Thomas Zinner (University of
Wurzburg – GERMANY)
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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 (behavioral
analysis, gesture and action recognition, fall prevention and
detection, intake monitoring, anomalous patterns detection,
sleep monitoring, etc…)
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
We encourage the submission of original contributions investigating
and studying IoT and AAL:
 Full research papers (max 6 pp. in PDF)
 Short papers (3 pp. in PDF) for position papers and researchin-progress papers
Standard IEEE Transactions templates for Microsoft Word or LaTeX
formats found at:
http://www.ieee.org/conferences_events/conferences/publishing/t
emplates.html
Workshop website:
http://www.tlc.dii.univpm.it/iotaalms/iotaal2017/
Important Dates
Workshop Paper
Submission:
February, 15th 2017
Acceptance/Rejection
Notification:
March, 31st 2017
Camera Ready Submission:
April, 30th 2017