[robotics-worldwide] [meetings] IEEE WCCI Workshop on Intelligent Assistive Computing - Deadline Extension

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[robotics-worldwide] [meetings] IEEE WCCI Workshop on Intelligent Assistive Computing - Deadline Extension

Francisco Javier Cruz Naranjo
Workshop on Intelligent Assistive Computing
at IEEE WCCI - July 8th, 2018


*Paper submission deadline extended to April 30*

*Call for papers*
We kindly invite you to submit your contributions to the workshop
to be held in Rio de Janeiro, Brazil.

Assistive technologies have the goal to provide greater quality of life
and independence in domestic environments by enhancing or changing the
way people perform activities of daily living (ADLs), tailoring specific
functionalities to the needs of the users. Significant advances have
been made in intelligent adaptive technologies that adopt
state-of-the-art learning systems applied to assistive and
health-care-related domains. Prominent examples are fall detection
systems that can detect domestic fall events through the use of wearable
physiological sensors or non-invasive vision-based approaches, and body
gait assessment for physical rehabilitation and the detection of
abnormal body motion patterns, e.g., linked to age-related cognitive
declines. In addition to an adequate sensor technology, such approaches
require methods able to process rich streams of (often noisy)
information with real-time performance.

Assistive technology has been the focus of research in the past decades.
However, it flourished in the past years with the fast development of
personal robots, smart homes, and embedded systems. The focus of this
workshop is to gather neural network researchers, both with application
and development focus, working on or being interested in building and
deploying such systems. Despite the high impact and application
potential of assistive systems for the society, there is still a
significant gap between what is developed by researchers and the
applicability of such solutions in real-world scenarios. This workshop
will discuss how to alleviate this gap with help of the latest neural
network research such as deep, self-organizing, generative and recurrent
neural models for adaptable lifelong learning applications. In this
workshop, we aim at collecting novel methods, computational models, and
experimental strategies for intelligent assistive systems such as body
motion and behavior assessment, rehabilitation and assisted living
technologies, multisensory frameworks, navigation assistance, affective
computing, and more accessible human-computer interaction.

The primary list of topics covers the following topics (but not limited to):

- Machine learning and neural networks for assistive computing
- Behavioral studies on assistive computing
- Models of behavior processing and learning
- New theories and findings on assistive computing
- human-machine, human-agent and human-robot interaction focused on
assistive computing
- Brain-machine interfaces for assistive computing
- Crossmodal models for assistive computing

*Invited speakers*
- Igor Farkas, Comenius University
- Giulio Sandini, Istituto Italiano di Tecnologia (IIT)
- Stefan Wermter, University of Hamburg

*Call for contributions*
Participants are required to submit a contribution as:

- Extended abstract (maximum 2 pages)
- Short paper (maximum 4 pages)

Selected contributions will be presented during the workshop as
spotlight talks and in a poster session.

*Important dates*
April 6, 2018 --- *extended to April 30, 2018* - Paper submission deadline
May 18, 2018 - Notification of acceptance
June 1, 2018 - Camera-ready version
July 8, 2018 - Workshop

Pablo Barros, University of Hamburg
Francisco Cruz, Universidad Central de Chile
German I. Parisi, University of Hamburg
Bruno Fernandes, Universidade de Pernambuco

See more details in:

Dr. Francisco Cruz
Research and Teaching Associate
Universidad Central de Chile
Santa Isabel 1186
8330601, Santiago
Phone: +562 2582 6938
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