[Announcements] [CFP] HUSH 2024, Workshop on Human-Centric Ubiquitous Sensing and Computing for Health

[Yuan Tian]

[Please accept our sincere apologies if you receive multiple copies of this
call]



*Workshop on Human-Centric Ubiquitous Sensing and Computing for Health
(HUSH)*

* The 10th lEEE Smart World Congress (SWC 2024)*

*Denarau Island, Fiji, December 02-07, 2024*

*https://www.ieee-smart-world.org/2024/HUSH%202024.pdf
<https://www.ieee-smart-world.org/2024/HUSH%202024.pdf>*



Dear Colleagues,



Hope you are well and healthy. The Workshop on Human-Centric Ubiquitous
Sensing and Computing for Health (HUSH 2024) was planned to be held in
Denarau Island, Fiji, December 02-07, 2024. We will be pretty happy to see
all authors manage to attend HUSH 2024.



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*INTRODUCTION*

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Health is a fundamental aspect of our lives that influences our well-being,
productivity, and longevity. In recent years, the advent of ubiquitous
sensing has opened up new possibilities for monitoring and managing health.
Ubiquitous sensing leverages a variety of sensors, often embedded in our
everyday environments and devices, to collect a wealth of data about our
physical state, behaviors, and surroundings. This data, when processed and
analyzed, can provide valuable insights into our health and well-being.



The *Human-Centric Ubiquitous Sensing and Computing for Health (HUSH)*
workshop represents a significant stride in the realm of health technology,
underscoring the importance of designing health sensing and computing
systems that are centered around the needs, behaviors, and contexts of the
individuals they serve. By harnessing the power of ubiquitous sensing and
computing, HUSH aims to provide personalized, adaptive health monitoring
and support. This approach has the potential to revolutionize how we
understand and manage health, enabling more proactive, preventive, and
personalized care. It could transform everything from chronic disease
management to wellness promotion, making health care more effective,
efficient, and accessible.



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*IMPORTANT DATES*

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• August 20, 2024 AoE Submission Deadline

• September 15, 2024 AoE– Notification of Acceptance

• October 15, 2024 AoE – Camera-ready

• December 02-07, 2024– Workshop Date



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*TOPICS*

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While there have been notable achievements in the field, it’s clear that
unique challenges still persist. The HUSH initiative is dedicated to
tackling these challenges through a blend of interdisciplinary
collaboration, innovative thinking, and rigorous research and development.
We extend an invitation to researchers and practitioners to participate in
this stimulating venture, share their insights, exchange ideas, and
collaborate on this cutting-edge frontier of technology. The workshop will
cover a range of topics, which include but are not limited to:

·         *Multi-modal Sensing and Learning*: exploration of signals from
multiple modalities and the enhancement of learning strategies for health
monitoring.

·         *Context-Aware Sensing and Learning*: comprehension and
utilization of context information through ubiquitous sensing to improve
health monitoring.

·         *Adaptive Interfaces*: development of interfaces that can adapt
to the health status of users.

·         *Interventions*: design of novel interventions for health
management through ubiquitous sensing and computing.

·         *Privacy and Security*: design of privacy-preserving paradigms or
learning frameworks to protect information privacy and security.

·         *On-Device Deployment*: efficient model deployment on
resource-constrained devices.



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*SUBMISSION GUIDELINES*

---------------------------------------

We will accept papers (6 pages) excluding the references in the
double-column format. All manuscripts should be formatted in the IEEE
Computer Society Proceedings Format
<https://www.ieee.org/conferences_events/conferences/publishing/templates.html>
and submitted in the Portable Document Format (.pdf). All papers should be
submitted via the conferences’ EDAS system. Authors should register with
the EDAS system first, and then make the submission via the conference link
https://edas.info/N32635 from which you can navigate to individual
conference or workshop or forums associated to that conference. Make sure
you select the right conference, track, workshop or Forums for your paper.



------------------------------

*CHAIRS*

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Hong Jia, University of Melbourne, Australia

Yongquan Hu, University of New South Wales, Australia

Yang Liu, University of Cambridge, UK

Jianbo Ma, Dolby, Australia

Ting Dang, University of Melbourne, Australia
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