[visionlist] CFP Special Section in IEEE Transactions on Emerging Topics in Computing
nicoletta.noceti at unige.it
Tue Mar 26 09:16:58 -04 2019
[Apologies for multiple postings]
Please find below the call for papers for the Special Section on “Assistive Computing Technologies for Human Well-Being” on the IEEE Transactions on Emerging Topics in Computing.
Full details can be found here:
The deadline for the full paper submission is October 1st, 2019. Prospective authors are encouraged to submit an abstract using this form <https://docs.google.com/forms/d/1Vwyqx3FEFWwo1ZgYNohSHhQ_hjSD8cY8FqZJiJWY2aw/edit>(abstracts will be used to verify that the topics fall within the scope of the Special Section)
Please, feel free to distribute this call to those who might be interested.
The guest editors
IEEE Transactions on Emerging Topics in Computing.
Special Section on “Assistive Computing Technologies for Human Well-Being”
MOTIVATIONS AND GOALS
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 www.computer.org/publications/author-resources/peer-review/journals <http://www.computer.org/publications/author-resources/peer-review/journals>. While submitting through ScholarOne, at https://mc.manuscriptcentral.com/tetc-cs <https://mc.manuscriptcentral.com/tetc-cs> 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 <https://www.computer.org/digital-library/journals/ec/call-for-papers-ieee-transactions-on-emerging-topics-in-computing-special-section-on-assistive-computing-technologies-for-human-well-being>.
For additional information please contact the Guest Editors by email: wellbeing_SI_TETC at di.unimi.it <mailto:wellbeing_SI_TETC at di.unimi.it>
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
Nicoletta Noceti, PhD
Assistant Professor in Computer Science
DIBRIS - Dept. of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genova
Tel. +39 010 3536704
Fax +39 010 3536699
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