FGAHI 2018 - Face and Gesture Analysis for Health Informatics (FGAHI)

Healthcare applications and clinical research have always been a fascinating and attractive field of research for face and gesture analysis. Recent advances in computer vision and machine learning for automatic analysis and modeling of human behavior could play a vital role in overcoming some limitations in clinical context. For instance, depression assessment relies almost entirely on patients verbally reported symptoms in clinical interviews (e.g., BDI). Such assessment, while useful, fail to include behavioral indicators that are powerful indices of depression.
This workshop aims to discuss the strengths and major challenges of automatic face and gesture analysis for clinical research and healthcare applications. We invite scientists working in related areas of face and gesture analysis, affective computing, machine learning, psychology, and cognitive behavior to share their expertise and achievements in the emerging field of face and gesture analysis for health informatics.
Topics of interest include:
- Face, head, and body detection, analysis, and modeling for healthcare applications
- Human-Computer Interaction systems for home healthcare and wellness management
- Physiological sensing and processing platforms for healthcare applications (e.g., wearable devices for self-management)
- Clinically relevant corpora recording and annotation
- Clinical protocols and methods for secure collection and use of patient data (e.g., face and gesture de-identification)
Applications include but are not limited to:
Telemedicine, pain intensity measurement, depression severity assessment, autism screening, heart rate and breathing rate monitoring.
Organizers:
Kévin Bailly, Pierre and Marie Curie University, France
Liming Chen, Ecole Centrale De Lyon, France
Mohamed Daoudi, IMT Lille Douai, France
Arnaud Dapogny, Pierre and Marie Curie University, France
Zakia Hammal, Carnegie Mellon University, USA
Di Huang, Beihang University, China
Keynote speakers:
Jeffrey Cohn, University of Pittsburgh, USA