Computer Vision for Automatic Human Health Monitoring Call for Papers


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Call for paper for FG 2020 special session 

on  

COMPUTER VISION FOR AUTOMATIC HUMAN HEALTH MONITORING
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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.

Important dates
Papers submission deadline: 10 December 2019  midnight PST
Paper notification deadline: 15 January 2020
Final camera-ready papers: 28 February 2020

Submission instructions can be found at 
https://fg2020.org/instructions-of-paper-submission-for-review/. 

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,