[visionlist] CFP Special Issue Brain-Inspired Intelligent Systems for Daily Assistance - Computational Intelligence and Neuroscience Journal

jgarcia at dtic.ua.es jgarcia at dtic.ua.es
Tue Jul 24 03:54:04 -05 2018

[Apologies for multiple copies due to cross-posting. Please forward to
colleagues who might be interested]


Dear Colleague,


We would like to cordially invite you to submit a paper to the Special Issue
Brain-Inspired Intelligent Systems for Daily Assistance of the Computational
Intelligence and Neuroscience Journal


Call for Papers


Ambient intelligence refers to a framework designed to augment the level of
interaction between individuals and their environment. Typically sensors are
positioned within an environment providing the acquisition of continuous
real-time data. The data are typically consumed by an agent, which responds
to the sensor input(s) according to some prescribed rule base. The ultimate
goal is to provide a person/agent with information that enhances the ability
of the person/agent to interact more effectively within a prescribed
environment. Typical applications include remote healthcare monitoring,
robot monitoring and interaction at home, complex decision making about
emotions, and behaviour in humans and animals.


The confluence of the ambient intelligence, ubiquitous computing, and
related domains on the one hand and various cognitive computing,
neural-inspired algorithms (e.g., deep ANNs, deep RL), and brain-intelligent
systems on the other hand will assist us in redefining person-interface
cooperativity. More generally, we are interested in discovering how these
frameworks, when imbued within a social neuroscience perspective, could
enhance the quality of life either at home or in a clinical environment for
all individuals. For example, in robotic assistance, better and faster
algorithms for learning, self-organization, and decision making can shorten
the critical time from detection to cognitive manipulation of the
environment, while dependent people are at risk. These can be people with
acquired brain injuries. In addition, accurate emotion recognition systems
of distressed individuals either adults or children who cannot self-report
information due to physical deformation, shyness, or anxiety could result in
more reliable diagnostics in a clinical environment.


This special issue is expected to present original work on algorithms and
neural-inspired systems that flexibly adapt to new learning tasks, learn
from the environment using multimodal signals (e.g., neural, physiological,
and kinematic), and produce autonomous adaptive agencies, which utilize
cognitive and affective data, within a social neuroscientific framework.
These agencies should be capable of acquiring data from a variety of
inputs/sensors, generating models, which become mutually interactive and
assistive to all members of a social construct (such as a classroom,
hospital ward, encounter group, and a family at home).


Potential topics include but are not limited to the following:


    New biological neural network models and training algorithms

    Innovative deep learning algorithms and architectures

    Progressive learning algorithms

    Complex environments

    Neural networks social robotics

    Self-organization, unsupervised, and semisupervised learning

    Brain-computer interfaces and assistive technologies

    Ambient assistive living (AAL)

    Innovative brain-neural computer interfaces

    Emotion recognition models and systems


Authors can submit their manuscripts through the Manuscript Tracking System
at https://mts.hindawi.com/submit/journals/cin/eql/


Submission Deadline      Friday, 12 October 2018

Publication Date              March 2019


Papers are published upon acceptance, regardless of the Special Issue
publication date.


Lead Guest Editor


    Anastassia Angelopoulou, University of Westminster, London, UK


Guest Editors


    Jose Garcia-Rodriguez, University of Alicante, Alicante, Spain

    Epameinondas Kapetanios, University of Westminster, London, UK

    Peter Roth, TU Graz University of Technology, Graz, Austria

    Kenneth Revett, HCL Infosystems Ltd., Boston, USA


Best regards.




Jose Garcia-Rodriguez, Phd

Associate Professor

Editor in Chief International Journal of Computer vision and Image

Vice-Dean International Relations Polytechnic University College 

Director Phd Program in Computer Science 

Director of NVIDIA  GPU Research Center  & GPU Education Center 

Dpt. Computer Technology , University of Alicante. PO Box. 99. 03080
Alicante (Spain)

tel: +34 965903400 ext. 2616 mobile: +34 610488989 fax: +34 965909643

email:  <mailto:jgarcia at dtic.ua.es> jgarcia at dtic.ua.es  skype:
jose.garcia.alicante   website:  <http://www.dtic.ua.es/~jgarcia/>


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