Face and Gesture Analysis for Health Informatics Workshop Call for Papers

Call Face and Gesture Analysis for Health Informatics Workshop, FGAHI
@ ICMI 2020, Oct. 25-29, 2020, Utrecht, the Netherlands
http://fgahi.isir.upmc.fr


The 3rd workshop on Face and Gesture Analysis for Health Informatics
(FGAHI) will be held in conjunction with ICMI 2020, October 25th -
29th, Utrecht, the Netherlands. The workshop aims to discuss the
strengths and major challenges in using computer vision and machine
learning of automatic face and gesture analysis for clinical research
and healthcare applications. We invite scientists working in related
areas of computer vision and machine learning for face and gesture
analysis, affective computing, human behavior sensing, and cognitive
behavior to share their expertise and achievements in the emerging
field of computer vision and machine learning based face and gesture
analysis for health informatics.

Topics of interest include, but are not limited to:

    Facial expression analysis and recognition for healthcare

    Human gesture (head and body movement) analysis for healthcare

    Remote physiological sensing for healthcare

    Human-Computer Interaction systems for healthcare

    Deep learning based multi-modal signal analysis for healthcare
    applications

    Multi-modal (visual, verbal, and/or physiological) fusion for
    healthcare applications

    Clinical protocols for face and gesture analysis and modeling in
    clinical context

    Applications include but are not limited to: pain intensity
    measurement, assessment of depression symptoms and severity,
    assessment of anxiety symptoms, bipolar disorder severity
    assessment, and autism screening.


Important dates

Deadline for workshop paper submission: August 20, 2020

Decisions released to authors: August 30th, 2020
Deadline for camera-ready submission: September, 2020 

Organizers: 

Di Huang, Beihang University, China
Zakia Hammal, Carnegie Mellon University, USA
Liming Chen, Ecole Centrale De Lyon, France
Mohamed Daoudi, IMT Lille Douai, France
KÚvin Bailly, Sorbonne University, France