Dear colleagues, We are inviting abstract submissions for a special session on “Artificial Intelligence for Automated Human Health-care and Monitoring”, as part of the 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG’21, http://iab-rubric.org/fg2021/), December 15-18, 2021. Details on the special session follow below. Title, abstract, list of authors, as well as the name of the corresponding author should be emailed directly to Abhijit Das (abhijitdas2048@gmail.com). Please submit your abstracts before Sunday, May 8th 2021. The expected paper submission deadline will be on 1st August 2021. Feel free to contact Abhijit Das, if you have any further questions. Kindly circulate this email to others, who might be interested. We look forward to your contributions! Abhijit Das (Thapar University, India) Antitza Dantcheva (Inria, France) Srijan Das (Stony Brook University, USA) François Brémond (Inria, France) Xilin Chen (CAS, China) Hu Han (CAS, China) ------------------------------------------------------------------------------------- *Call for abstract for FG 2021 special session * *on* *Artificial Intelligence for Automated Human Health-care and Monitoring* ------------------------------------------------------------------------------------ Automated Human Health Monitoring Based on Computer Vision has gained rapid scientific attention in the decade, fueled by a large number of research articles and commercial systems based on a 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 regulations for social distancing, surveillance of individuals wearing the mask in-crowd, gauging body temperature and other physiological measurements 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 (e.g., for dementia, depression, general healthcare, physiological measurements, rare neurologic diseases). Moreover, healthcare represents an area of broad economic[1] <#_ftn1>, social, and scientific impact. We aim to document recent advancements in automated healthcare, as well as enable and discuss the progress. Therefore, the goal of this special session is to bring together researchers and practitioners working in this area of computer vision and medical science, and to address a wide range of theoretical and practical issues related to real-life healthcare systems. Topics of interest include, but are not limited to: · Health monitoring based on face analysis, · Health monitoring based on gesture analysis, · Health monitoring based corporeal-based visual features, · Depression analysis based on visual features, · Face analytics for human behaviour 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 ageing society, · Personalized monitoring, · Egocentric and first-person vision, · Applications to improve health and wellbeing of children and elderly. ------------------------------ [1] <#_ftnref1> https://www.prnewswire.com/news-releases/healthcare-automation-market-to-rea...