Assistive Computing Technologies for Human Well-Being Call for Papers


IEEE Transactions on Emerging Topics in Computing.
Special Section on "Assistive Computing Technologies for Human Well-Being" 

The notion of well-being is a complex multidimensional process that
encompasses the physical, cognitive, psychological, economic, and
social domains.  In recent years the scientific challenges highlighted
in several research communities - as psychologists and clinicians,
engineers and computing scientists - have been formalized in different
but related objectives, known by a variety of names  affective
medicine, positive technology, or the more familiar Ambient Assisted
Living (AAL).  Nowadays, we are facing the objective of designing ad
hoc technologies with the real potential of improving the quality of
life of fragile citizens (i.e. individuals with reduced independence
or vulnerability). Indeed, despite significant advances in the AAL
domain, much remains to be done towards the development of intelligent
systems to improve the overall well-being of users in need for
assistance.  The goal of this Special Section is to encourage the
conversation between healthcare and technology researchers, necessary
to ensure that these new systems address the correct needs to
ultimately benefit their target population.

We welcome original research manuscripts including new significant
technical contributions to machine learning, computer vision,
human-machine interaction methods for assisted living, as well as
multi-modal systems, sensor fusion, knowledge transfer, and domain
adaptation to assisted living scenarios. Given the lack of publicly
available data specific to this topic, contributions also reporting
realistic benchmarks related to elderly are very welcome. Relevant
topics include (but are not limited to):
- Computer vision for assisted living and well-being assessment
- Machine learning methods for assisted living and well-being assessment
- Human-machine interactions in assisted living environments
- Multi-modal methods for well-being assessment
- Deployment-independent sensing techniques for assisted living environments
- Knowledge transfer and domain adaptation assisted living and well-being assessment

- First submission paper due: October  1st, 2019
- First review notification: December 1st, 2019 
- Submission of revised papers: January 15th, 2020
- Notification of final decision (tentative): March 1st, 2020

Guidelines concerning the submission process, LaTeX and Word templates
can be found at While
submitting through ScholarOne, at please select the option
"Special Section on Assistive Technologies to Support the
Well-being of an Aging Population." As per TETC policies, only
full-length papers (10-16 pages with technical material, double column:
 papers beyond 12 pages will be subject to MOPC, as per CS
policies -) can be submitted to special sections. The bibliography
should not exceed 45 items and each Author's bio should not exceed
150 words.  More information can be found here:

For additional information please contact the Guest Editors by 

Raffaella Lanzarotti, Giuliano Grossi,  University of Milan, Italy
Henry Medeiros, Marquette University, Milwaukee, USA
Francesca Odone, Nicoletta Noceti, University of Genova, Italy
Corresponding TETC Editor: Ramon Martin Rodriguez Dagnino, 
Tecnologico de Monterrey, Mexico