Applications in Healthcare and Health Monitoring Call for Papers
We are organizing a special session on
Applications in Healthcare and Health Monitoring
in conjunction with 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: 20 August 2021 – 11:59 PM PDT
Decisions: 25 September 2021
Final camera-ready papers: 20 October 2021, 11:59 PM PDT
Submission instructions can be found at
http://iab-rubric.org/fg2021/submission.html.
For submission log into 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 measurement 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 labeled 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 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,
· 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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Srijan Das
Postdoctoral Associate
Stony Brook University
https://sites.google.com/view/srijan-das/home