29 Apr
2021
29 Apr
'21
6:24 a.m.
Dear colleagues,
We are inviting abstract submissions for a special session on “Artificial
Intelligence for Automated Human Health-care and Monitoring”, as part of
the 16th IEEE International Conference on Automatic Face and Gesture
Recognition (FG’21, http://iab-rubric.org/fg2021/), December 15-18, 2021.
Details on the special session follow below.
Title, abstract, list of authors, as well as the name of the corresponding
author should be emailed directly to Abhijit Das (abhijitdas2048(a)gmail.com).
Please submit your abstracts before Sunday, May 8th 2021. The expected
paper submission deadline will be on 1st August 2021.
Feel free to contact Abhijit Das, if you have any further questions.
Kindly circulate this email to others, who might be interested.
We look forward to your contributions!
Abhijit Das (Thapar University, India)
Antitza Dantcheva (Inria, France)
Srijan Das (Stony Brook University, USA)
François Brémond (Inria, France)
Xilin Chen (CAS, China)
Hu Han (CAS, China)
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*Call for abstract for FG 2021 special session *
*on*
*Artificial Intelligence for Automated Human Health-care and Monitoring*
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Automated 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 a set of features, extracted from
face and gesture. Recently, the COVID-19 pandemic has pushed the need for
virtual diagnosis and monitoring health protocols (such as regulations for
social distancing, surveillance of individuals wearing the mask 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, general healthcare, physiological measurements, rare
neurologic diseases). Moreover, healthcare represents an area of broad
economic[1] <#_ftn1>, social, and scientific impact.
We aim to document recent advancements in automated healthcare, as well as
enable and discuss the progress. Therefore, 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 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,
· Applications to improve health and wellbeing of children and elderly.
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[1] <#_ftnref1>
https://www.prnewswire.com/news-releases/healthcare-automation-market-to-re…