Face and Gesture Analysis for Health Informatics

Zakia Hammal; Di Huang; Kévin Bailly; Liming Chen; Mohamed Daoudi

doi:10.1145/3382507.3419747

Face and Gesture Analysis for Health Informatics

Zakia Hammal
, Di Huang
, Kévin Bailly
, Liming Chen
, Mohamed Daoudi

School of Computer Science and Engineering

Carnegie Mellon University
Sorbonne Université
École centrale de Lyon
Dépt. Énergétique Industrielle

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

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.

Original language	English
Title of host publication	ICMI 2020 - Proceedings of the 2020 International Conference on Multimodal Interaction
Publisher	Association for Computing Machinery, Inc
Pages	874-875
Number of pages	2
ISBN (Electronic)	9781450375818
DOIs	https://doi.org/10.1145/3382507.3419747
State	Published - 21 Oct 2020
Event	22nd ACM International Conference on Multimodal Interaction, ICMI 2020 - Virtual, Online, Netherlands Duration: 25 Oct 2020 → 29 Oct 2020

Publication series

Name	ICMI 2020 - Proceedings of the 2020 International Conference on Multimodal Interaction

Conference

Conference	22nd ACM International Conference on Multimodal Interaction, ICMI 2020
Country/Territory	Netherlands
City	Virtual, Online
Period	25/10/20 → 29/10/20

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

assistive technologies
behavioral health informatics
behavioral sensing
clinical datasets
human centered computing
medical tutoring systems

Access to Document

10.1145/3382507.3419747

Cite this

Hammal, Z., Huang, D., Bailly, K., Chen, L., & Daoudi, M. (2020). Face and Gesture Analysis for Health Informatics. In ICMI 2020 - Proceedings of the 2020 International Conference on Multimodal Interaction (pp. 874-875). (ICMI 2020 - Proceedings of the 2020 International Conference on Multimodal Interaction). Association for Computing Machinery, Inc. https://doi.org/10.1145/3382507.3419747

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title = "Face and Gesture Analysis for Health Informatics",

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 = "assistive technologies, behavioral health informatics, behavioral sensing, clinical datasets, human centered computing, medical tutoring systems",

author = "Zakia Hammal and Di Huang and K{\'e}vin Bailly and Liming Chen and Mohamed Daoudi",

note = "Publisher Copyright: {\textcopyright} 2020 ACM.; 22nd ACM International Conference on Multimodal Interaction, ICMI 2020 ; Conference date: 25-10-2020 Through 29-10-2020",

year = "2020",

month = oct,

day = "21",

doi = "10.1145/3382507.3419747",

language = "英语",

series = "ICMI 2020 - Proceedings of the 2020 International Conference on Multimodal Interaction",

publisher = "Association for Computing Machinery, Inc",

pages = "874--875",

booktitle = "ICMI 2020 - Proceedings of the 2020 International Conference on Multimodal Interaction",

}

Hammal, Z, Huang, D, Bailly, K, Chen, L & Daoudi, M 2020, Face and Gesture Analysis for Health Informatics. in ICMI 2020 - Proceedings of the 2020 International Conference on Multimodal Interaction. ICMI 2020 - Proceedings of the 2020 International Conference on Multimodal Interaction, Association for Computing Machinery, Inc, pp. 874-875, 22nd ACM International Conference on Multimodal Interaction, ICMI 2020, Virtual, Online, Netherlands, 25/10/20. https://doi.org/10.1145/3382507.3419747

Face and Gesture Analysis for Health Informatics. / Hammal, Zakia; Huang, Di; Bailly, Kévin et al.
ICMI 2020 - Proceedings of the 2020 International Conference on Multimodal Interaction. Association for Computing Machinery, Inc, 2020. p. 874-875 (ICMI 2020 - Proceedings of the 2020 International Conference on Multimodal Interaction).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Face and Gesture Analysis for Health Informatics

AU - Hammal, Zakia

AU - Huang, Di

AU - Bailly, Kévin

AU - Chen, Liming

AU - Daoudi, Mohamed

PY - 2020/10/21

Y1 - 2020/10/21

N2 - 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.

AB - 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.

KW - assistive technologies

KW - behavioral health informatics

KW - behavioral sensing

KW - clinical datasets

KW - human centered computing

KW - medical tutoring systems

UR - https://www.scopus.com/pages/publications/85096635097

U2 - 10.1145/3382507.3419747

DO - 10.1145/3382507.3419747

M3 - 会议稿件

AN - SCOPUS:85096635097

T3 - ICMI 2020 - Proceedings of the 2020 International Conference on Multimodal Interaction

SP - 874

EP - 875

BT - ICMI 2020 - Proceedings of the 2020 International Conference on Multimodal Interaction

PB - Association for Computing Machinery, Inc

T2 - 22nd ACM International Conference on Multimodal Interaction, ICMI 2020

Y2 - 25 October 2020 through 29 October 2020

ER -

Face and Gesture Analysis for Health Informatics

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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Cite this