[Face-research-list] Deadline extended to 10th January: Special session on Computer Vision for Automatic Human Health Monitoring in conjunction with IEEE FG 2020.

ABHIJIT DAS abhijitdas2048 at gmail.com
Sun Dec 8 19:51:05 GMT 2019

Dear colleagues,

We are organizing a special session on “Computer Vision for Automatic Human
Health Monitoring” in conjunction with 15th IEEE Conference on
Automatic Face and Gesture Recognition to be held between 18th-22th May
2020 in Buenos Aires, Argentina. Kindly find the related call for papers

*Important dates*
Papers submission deadline: 10th January 2019 – midnight PST (firm deadline
no further extension)
Paper notification deadline: 10th February 2020
Final camera-ready papers: 28 February 2020

*Submission instructions* can be found at

*For submission* log into
https://cmt3.research.microsoft.com/FG2020/Submission/Index, proceed to
“create new submission”. Select “special session track and subject area” as
“Special session: Computer Vision for Automatic Human Health Monitoring”.

Accepted papers will be included in FG2020 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.

Antitza Dantcheva (INRIA, France)
Abhijit Das (USC, USA)
François Brémond  (INRIA, France)
Xilin Chen  (CAS, China)
Hu Han (CAS, China)


*Call for paper for FG 2020 special session *

*on  *


Automatic Human Health Monitoring Based on Computer Vision has gained rapid
scientific attention in the decade, fueled by a large number of research
articles and commercial systems based on set of features, extracted from
face and gesture. Consequently, researchers from computer vision, as well
as from medical science community have granted significant attention, with
goals ranging from patient analysis and monitoring to diagnostics.  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.

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 behavior 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,
 Applications to improve health and wellbeing of children and elderly.
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