[visionlist] [CfP] ASSIST: 1st International Workshop on AI and Sensor-Supported Integrated care Solutions @PETRAE 2021

Esam Ghaleb esamalabasi at gmail.com
Thu Jan 14 11:12:24 -04 2021

Call for Papers

ASSIST: 1st International Workshop on AI and Sensor-Supported Integrated
care Solutions <http://www.petrae.org/workshops/ASSIST.html>
@The 14th International Conference on The PErvasive Technologies Related to
Assistive Environments (PETRA ) on the island of CORFU (June 29-July 2nd).
Paper Submission:
       *March 1, 2021*
Submission Length: 3-10 pages *(incl. refs)*
Notification Date:
March 26, 2021
April 6, 2021

ASSIST: 1st International Workshop on AI and Sensor-Supported Integrated
care Solutions
Advances in Artificial Intelligence and sensing technologies have made it
possible to build intelligent solutions aimed at improving our daily life,
at providing personalized recommendations in terms of physical and
cognitive exercises, nutrition, and general activities promoting health and
well-being. Moreover, big data analysis through cutting-edge AI algorithms
is expected to provide new insights into disease patterns and contribute to
the design of more efficient interventions. Such solutions can promote
independent living and can become an indispensable part of integrated care
technologies. Indeed, spending more time at home but, at the same time,
making it possible to communicate health-related signals to professionals
and caregivers, becomes more necessary – and feasible – than ever,
especially given the current pandemic and its consequences on maintaining a
healthy lifestyle at home. Moreover, making sure medical and other
information is passed, in a timely and personalized manner, to the right
medical professionals and caregivers, is necessary for getting the right
consultation, well-targeted to the needs of the individual. Such
information must reflect personal needs, should take into account user
habits and preferences and, of course, needs to consider all health-related
parameters involved (including diseases, other comorbidities and
medication). The role of sensing technologies and artificial intelligence
can be very crucial in such solutions, as learning from historical data or
from users with similar health-related issues and needs can be beneficial
in building the right AI models.
However, even if sensing devices (e.g. cameras, wearable devices, web
access points) and intelligent eHealth applications have improved
significantly in the last years, the most promising algorithms for human
activity analysis, automated behaviour recognition and personalization are
constrained by limited datasets, usage contexts, physical obstacles,
personalized patterns of behaviours and individual preferences. Moreover,
underlying health conditions vary significantly among individuals for
promoting their health and well-being. Another big challenge in data
analysis and efficient application of artificial intelligence arises from
the fact that indoor environments impose problems related to sensor noise,
scene clutter and false alarms attributed to contextual constraints.
The ASSIST workshop invites contributions that seek to advance the state of
the art in using AI, eHealth and sensor-driven solutions for promoting
healthy lifestyles in indoor environments and for summarizing results in
personalized profiles, in order to provide recommendations driven by
machine learning, as well as to further support existing integrated care
Research papers are solicited in, but are not limited to, the following
areas topics:

   - Automated, indoors human activity and behaviour recognition for
   promoting healthy lifestyles.
   - AI solutions for personalization and analysis of electronic health
   - Explainable AI models for health and well-being.
   - Multimodality in human behaviour recognition and Ambient Assisted
   - Factors related to personality and affect in interpreting human
   actions, behaviours and preferences in daily life activities.
   - Anomaly detection in indoor activities.
   - Health-related factors in analysing human daily routine and related
   computational models.
   - AI recommender systems in health.
   - Intelligent health interfaces and assistive technologies.

The scope of this workshop is to bring together researchers, developers and
the industry working in the area of data and AI-driven solutions in ambient
assisted living environments, focusing on the promotion of health benefits
and personalization. Latest computational models and sensor signal
interpretation techniques will be discussed in the form of oral
presentations of peer-review papers. The workshop will leverage results
from the Procare4Life and PROTEIN EU H2020 projects, and it will welcome
research contributions from the broader research community.

   - Stylianos (Stelios) Asteriadis
   *University of Maastricht - *stelios.asteriadis at maastrichtuniversity.nl
   <stelios.asteriadis at maastrichtuniversity.nl?Subject=ASSIST%20%20Workshop>
   - Kosmas Dimitropoulos
   *Centre for Research and Technology Hellas (ITI/CERTH) - *dimitrop at iti.gr
   <dimitrop at iti.gr?Subject=ASSIST%20%20Workshop>
   - AJorge Alfonso Kurano
   *Polytechnic University of Madrid (UPM) - *jak at gatv.ssr.upm.es
   <jak at gatv.ssr.upm.es?Subject=ASSIST%20%20Workshop>
   - Esam Ghaleb
   *University of Maastricht - *esam.ghaleb at maastrichtuniversity.nl
   <esam.ghaleb at maastrichtuniversity.nl?Subject=ASSIST%20%20Workshop>

ACM will be the publisher of the proceedings of PETRA conference and
workshops. The proceedings will be a volume in the ACM International
Conference Proceedings Series in the ACM Digital Library.
Authors must follow the same formatting guidelines as employed for the main
conference paper submissions. Refer to the guidelines here.
<http://www.petrae.org/guide.html> You can submit your paper using the main
conference submission system by selecting the option Workshop Paper from
the dropdown menu. To submit a paper, please visit the submission system.
*Best regards,*

*    Esam Ghaleb*
*    Ph.D. Candidate*
*    Faculty of Science and Engineering*
*    Department of Data Science and Knowledge Engineering*
*    esam.ghaleb at maastrichtuniversity.nl
<esam.ghaleb at maastrichtuniversity.nl>*

    Paul-Henri Spaaklaan 1 , room c4.038
    6229 EN,  Maastricht, the Netherlands
    T +31 (0)43 388 83357
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