Face and Gesture Analysis for Health Informatics
Conference Paper, Proceedings of 22nd International Conference on Multimodal Interaction (ICMI '20), pp. 874 - 875, October, 2020
Abstract
The goal of Face and Gesture Analysis for Health Informatics's workshop is to share and discuss the achievements as well as the challenges in using computer vision and machine learning for automatic human behavior analysis and modeling for clinical research and healthcare applications. The workshop aims to promote current research and support growth of multidisciplinary collaborations to advance this groundbreaking research. The meeting gathers scientists working in related areas of computer vision and machine learning, multi-modal signal processing and fusion, human centered computing, behavioral sensing, assistive technologies, and medical tutoring systems for healthcare applications and medicine.
BibTeX
@conference{Zakia Hammal-2020-124321,author = {Zakia Hammal and Di Huang and Kévin Bailly and Liming Chen and Mohamed Daoudi},
title = {Face and Gesture Analysis for Health Informatics},
booktitle = {Proceedings of 22nd International Conference on Multimodal Interaction (ICMI '20)},
year = {2020},
month = {October},
pages = {874 - 875},
publisher = {ACM},
keywords = {Behavioral health informatics, human centered computing, behavioral sensing, assistive technologies, medical tutoring systems, clinical datasets},
}
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