[Face-research-list] Special session on Applications in Healthcare and Health Monitoring in conjunction with IEEE FG 2021, 15th-18th December 2021 at Jodhpur, India (Hybrid Event).

[ABHIJIT DAS]

Dear colleagues,

We are organizing a special session on “Applications in Healthcare and
Health Monitoring” in conjunction with the 16th IEEE Conference on
Automatic Face and Gesture Recognition to be held between 15th-18th
December 2021 in Jodhpur, India (Hybrid Event). Kindly find the related
call for papers below.

*Important dates*
Papers submission deadline: 1 August 2021
Decisions: 25 September 2021
Final camera-ready papers: 20 October 2021

*Submission instructions* can be found at
*http://iab-rubric.org/fg2021/submission.html
<http://iab-rubric.org/fg2021/submission.html>*.

*For submission* log into *https://cmt3.research.microsoft.com/fg2021/*
<https://cmt3.research.microsoft.com/fg2021/>, proceed to “create new
submission”. Select “special session track and subject area” as
“Applications in Healthcare and Health Monitoring”.

Accepted papers will be included in FG2021 proceedings and will appear in
the IEEE Xplore digital library,

Please feel free to contact us for any further details. Kindly disseminate
this email to others who might be interested.

We look forward to your contributions.

Abhijit Das (Thapar University, India)
Babak Taati (University of Toronto, Canada)
Antitza Dantcheva (INRIA, France)
Diedo Guarin (Florida Institute of Technology, USA)
Srijan Das (Stony Brook University, USA)
Andrea Bandini (University of Toronto, Canada)
Hu Han (CAS, China)
Yana Yunusovva (University of Toronto, Canada)
François Brémond  (INRIA, France)
Xilin Chen  (CAS, China)


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*Call for paper for FG 2021 special session *

*on  *

*Applications in Healthcare and Health Monitoring*
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Automated Human Health Monitoring Based on Computer Vision has gained rapid
Automated Human Health Monitoring Based on Computer Vision has gained rapid
scientific attention in the last decade, fueled by many research articles
and commercial systems. Recently, the COVID-19 pandemic has pushed the need
for virtual diagnosis and monitoring health protocols such as regulating
social distancing, surveillance of individuals wearing masks in-crowd,
gauging body temperature and other physiological measurements from
distance. Consequently, researchers from computer vision, as well as from
the medical science community have given significant attention to goals
ranging from patient analysis and monitoring to diagnostics (e.g., for
dementia, depression, healthcare, physiological measurement, rare
neurologic diseases). Moreover, healthcare represents an area of broad
economic, social, and scientific impact. The goal of this special session
is to bring together researchers and practitioners working in this area of
computer vision and medical science and to address a wide range of
theoretical and practical issues related to real-life healthcare systems.
We especially invite papers resulting from collaboration between technical
and clinical experts. Hence, this FG Special Session represents a venue for
fostering these collaborations, providing a unique and welcoming
environment for transdisciplinary research that is sometimes labelled as
being “too clinical” by technical journals or “too technical” by clinical
journals.

Topics of interest include, but are not limited to:

 Health monitoring based on face analysis,
 Health monitoring based on gesture analysis,
 Health monitoring based corporeal-based visual features,
 Depression analysis based on visual features,
 Face analytics for human behaviour understanding,
 Anxiety diagnosis based on face and gesture,
 Physiological measurement employing face analytics,
 Databases on health monitoring, e.g., depression analysis,
 Augmentative and alternative communication,
 Human-robot interaction,
 Home healthcare,
 Technology for cognition,
 Automatic emotional hearing and understanding,
 Visual attention and visual saliency,
 Assistive living,
 Privacy-preserving systems,
 Quality of life technologies,
 Mobile and wearable systems,
 Applications for the visually impaired,
 Sign language recognition and applications for hearing impaired,
 Applications for the ageing society,
 Personalized monitoring,
 Egocentric and first-person vision,
 Assessing physical and/or cognitive ability based on face and body
movement analysis,
 Orofacial assessment in clinical populations,
 Hand function assessment in clinical populations,
 Assessment of gait and/or balance,
 Assistive technology,
 Applications to improve health and wellbeing of children and elderly.
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