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
Kévin Bailly, Sorbonne University, France