Apologies for cross-posting
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FGAHI 2019: CALL FOR PAPERS
2nd International Workshop on Face and Gesture Analysis for Health Informatics
Accepted papers will be published at the CVF open access archive.
Submission Deadline Extended: May 1st, 2019.
The camera-ready deadline: May 15th, 2019.
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The 2d International Workshop on Face and Gesture Analysis for Health Informatics (FGAHI
2019) will be held in conjunction with IEEE CVPR 2019 on June 16th - June 21st, Long Beach, CA.
For details concerning the workshop program, paper submission, and
guidelines please visit our workshop website at:
http://fgahi2019.isir.upmc.fr/
Best regards,
Zakia Hammal
Zakia Hammal, PhD
The Robotics Institute, Carnegie Mellon University
http://www.ri.cmu.edu/http://ri.cmu.edu/personal-pages/ZakiaHammal/
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.
------------------------------
[1] <#_ftnref1>
https://www.prnewswire.com/news-releases/healthcare-automation-market-to-re…
Dear All,
I would appreciate it if you`d propagate the following opportunity.
The Institute of Psychology at the University of Pecs, Hungary, is planning
to start a PhD program for international students. During the program,
among other possibilities, students can join a research that aims at
extending our knowledge about the cognitive background of face perception.
We`re particularly interested in how semantic knowledge about a person
interacts with affective processes. The student will have access to the
following equipment in our lab:
- device for accurate reaction time measurement (cedrus)
- eye-tracker (Toobi XT300)
- physiological measurements (BIOPAC modules: EDA, hearth rate, respiration
rate, EMG etc)
- EEG
Please note that there is a tuition fee (3500 euros per semester in the
first and second year, and 2500 euros per semester in the third and fourth
year). However, from the second year on, students from selected countries
may apply for a scholarship by the Stipendium Hungaricum which covers both
tuition fee and costs of living. The list of eligible countries can be
found here:
https://stipendiumhungaricum.hu/partners/
We are still waiting for the official approval of the PhD program from the
university administration, hence application will be possible only from
July. Until then, informal enquiries can be sent to kocsor.ferenc(a)pte.hu.
Students with a background in psychology, biology, or other related fields,
are welcome to apply.
best regards
*Ferenc Kocsor, PhD*
Institute of Psychology
Faculty of Humanites
University of Pécs
psychology.pte.hu <https://psychology.pte.hu/ferenc-kocsor-phd>
evolutionpsychology.com
<https://psychology.pte.hu/ferenc-kocsor-phd>
Dear colleagues
We are delighted to announce the opening of a 3-year fully funded PhD position in the FaceSyntax lab (Director: Prof. Rachael Jack, University of Glasgow, Scotland). Please find advert attached. Sharing widely would be greatly appreciated.
Best wishes,
Prof. Rachael E. Jack, Ph.D.
Professor of Computational Social Cognition
Institute of Neuroscience & Psychology
School of Psychology
University of Glasgow
Scotland, G12 8QB
+44 (0) 141 330 5087