[Face-research-list] Special session on Applications in Healthcare and Health Monitoring in conjunction with IEEE FG 2021, 15th-18th December 2021 at Jodhpur, India (Hybrid Event).

Dear colleagues, We are organizing a special session on “Applications in Healthcare and Health Monitoring” in conjunction with the 16th IEEE Conference on Automatic Face and Gesture Recognition to be held between 15th-18th December 2021 in Jodhpur, India (Hybrid Event). Kindly find the related call for papers below. *Important dates* Papers submission deadline: 1 August 2021 Decisions: 25 September 2021 Final camera-ready papers: 20 October 2021 *Submission instructions* can be found at *http://iab-rubric.org/fg2021/submission.html <http://iab-rubric.org/fg2021/submission.html>*. *For submission* log into *https://cmt3.research.microsoft.com/fg2021/* <https://cmt3.research.microsoft.com/fg2021/>, proceed to “create new submission”. Select “special session track and subject area” as “Applications in Healthcare and Health Monitoring”. Accepted papers will be included in FG2021 proceedings and will appear in the IEEE Xplore digital library, Please feel free to contact us for any further details. Kindly disseminate this email to others who might be interested. We look forward to your contributions. Abhijit Das (Thapar University, India) Babak Taati (University of Toronto, Canada) Antitza Dantcheva (INRIA, France) Diedo Guarin (Florida Institute of Technology, USA) Srijan Das (Stony Brook University, USA) Andrea Bandini (University of Toronto, Canada) Hu Han (CAS, China) Yana Yunusovva (University of Toronto, Canada) François Brémond (INRIA, France) Xilin Chen (CAS, China) -------------------------------------------------------------------------------------------- *Call for paper for FG 2021 special session * *on * *Applications in Healthcare and Health Monitoring* ----------------------------------------------------------------------------------- Automated Human Health Monitoring Based on Computer Vision has gained rapid Automated Human Health Monitoring Based on Computer Vision has gained rapid scientific attention in the last decade, fueled by many research articles and commercial systems. 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 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, healthcare, physiological measurement, rare neurologic diseases). Moreover, healthcare represents an area of broad economic, social, and scientific impact. 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. We especially invite papers resulting from collaboration between technical and clinical experts. Hence, this FG Special Session represents a venue for fostering these collaborations, providing a unique and welcoming environment for transdisciplinary research that is sometimes labelled as being “too clinical” by technical journals or “too technical” by clinical journals. 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,  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.