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. 2020 Oct:2020:874-875.
doi: 10.1145/3382507.3419747.

Face and Gesture Analysis for Health Informatics

Zakia Hammal  1 , Di Huang  2 , Kévin Bailly  3 , Liming Chen  4 , Mohamed Daoudi  5
Affiliations

Face and Gesture Analysis for Health Informatics

Zakia Hammal et al. Proc ACM Int Conf Multimodal Interact. 2020 Oct.

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.

Keywords: Behavioral health informatics; assistive technologies; behavioral sensing; clinical datasets; human centered computing; medical tutoring systems.

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References

    1. Daoudi Mohamed, Hammal Zakia, Kacem Anis, and Cohn Jeffrey F. 2019. Gram Matrix Trajectories of Body Shape Motion: An Application for Depression Severity Assessment. In Machine Learning for the Diagnosis and Treatment of Affective Disorders at IEEE ACII 2019, Cambridge, UK 10.1109/ACIIW.2019.8925009 - DOI
    1. Erekat Diyala, Hammal Zakia, Siddiqui Maimoon, and Dibeklioglu Hamdi. 2020. Enforcing Multilabel Consistency for Automatic Spatio-Temporal Assessment of Shoulder Pain Intensity. In Adjunct Proceedings of the ACM International Conference on Multimodal Interaction (ICMI 2020), Utrecht, the Netherlands. - PMC - PubMed
    1. Dapogny Arnaud et al. 2018. JEMImE: A Serious Game to Teach Children with ASD How to Adequately Produce Facial Expressions. In Proceedings of the IEEE International Conference on Automatic Face Gesture Recognition (FG 2018) 723–730.
    1. Grossard Charline et al. 2020. Children with Autism Spectrum Disorder Produce More Ambiguous and Less Socially Meaningful Facial Expressions: An Experimental Study Using Random Forest Classifiers. Molecular Autism 11, 1 (2020), 5 10.1186/s13229-020-0312-2 - DOI - PMC - PubMed
    1. Ringeval Fabien et al. 2019. AVEC 2019 workshop and challenge: state-of-mind, detecting depression with AI, and cross-cultural affect recognition. In Proceedings of the 9th International on Audio/Visual Emotion Challenge and Workshop 3–12.

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