on Jan 5 2023

Artificial Intelligence for Automated Human Health-care and Monitoring

at FG 2023

A one-day summit to bring together the latest ideas in Computer Vision for Automated Human Health Monitoring.

The goal of this event is to bring leaders in AI and healthcare together from across the globe.


Automated Human Health Monitoring based on Computer Vision has gained rapid scientific attention in the last decade, fueled by a large number of research articles and commercial systems based on set of features, extracted from face and gesture. Recently, the COVID-19 pandemic has pushed the need for virtual diagnosis and monitoring health protocols such as regulating social distancing, surveillance of individuals wearing masks in crowd, gauging body temperature and other physiological measurement from distance. Consequently, researchers from computer vision, as well as from the medical science community have given significant attention to goals ranging from patient analysis and monitoring to diagnostics. In addition, the recent pandemic scenario has claimed the need for health monitoring and surveillance of health protocols, which can be automated by various computer vision tools. This workshop presents a timely opportunity to discuss the state-of-the-art algorithms and the open challenges in the aforementioned research are.

The Speakers

Vitaly Herasevich

Professor of Anesthesiology & Medicine

Mayo CLinic

Title of the Talk: I see you: Acceptance, barriers and regulation for using computer vision in hospitals

Ziyan Wu

Sr. Director of Vision and Robotics

UII America

Title of the Talk: Autonomizing Medical Devices with Visual Perception

Surangama Dasgupta

Medical Practitioner and dancer

Director of Deodar Suchanda Sangitalaya, Guest professor at Justus Liebig University, Giessen, Germany

Title of the Talk: Cognitive Assessment across diverse population through Expressive Therapy with special focus on active and passive involvement of the clients

We accept full paper submissions to our workshop. All submissions shall have maximally 8 pages (including references) following the FG 2023 author guidelines.

Topics of interest include, but are not limited to:

  • Health monitoring based on face analysis,

  • Health monitoring based on gesture analysis,

  • Health monitoring using corporeal-based visual features,

  • Depression analysis based on visual features,

  • Face analytics for human behavior understanding,

  • Anxiety diagnosis based on face and gesture,

  • Physiological measurement employing face analytics,

  • Databases on health monitoring, e.g., depression analysis,

  • Augmentative and alternative communication,

  • Human-robot interaction,

  • Home healthcare,

  • Technology for cognition,

  • Automatic emotional hearing and understanding,

  • Visual attention and visual saliency,

  • Assistive living,

  • Privacy preserving systems,

  • Quality of life technologies,

  • Mobile and wearable systems,

  • Applications for the visually impaired,

  • ·Sign language recognition and applications for hearing impaired,

  • Applications for the aging society,

  • Personalized monitoring,

  • Egocentric and first-person vision,

  • Assessing physical and/or cognitive ability based on face and body movement analysis,

  • Orofacial assessment in clinical populations,

  • Hand function assessment in clinical populations,

  • Assessment of gait and/or balance,

  • Assistive technology,

  • Applications to improve health and wellbeing of children and elderly.

Submission Portal: CMT Link

Papers presented at the FG workshops will be published as part of the FG Proceedings and should, therefore, follow the same presentation guidelines as the main conference.

Workshop papers will be included in IEEE Xplore.

Important Dates:

Paper Submission Due: October 1st, 2022

Notification to Authors: October 27th, 2022

Camera-ready Version Due: October 31st, 2022

Workshop: January 5th, 2023, Schedule is now available


Abhijit Das

BITS Pilani, Hyderabad


Antitza Dantcheva

INRIA, Sophia Antipolis


Srijan Das

UNC Charlotte


Hu Han

ICT, Chinese Academy of Sciences, China

Francois Bremond

INRIA, Sophia Antipolis


Xilin Chen

ICT, Chinese Academia of Sciences, China