From Karen.Lander at manchester.ac.uk Fri Jun 11 11:35:31 2021 From: Karen.Lander at manchester.ac.uk (Karen Lander) Date: Fri, 11 Jun 2021 10:35:31 +0000 Subject: [Face-research-list] Face coverings: Considering the implications for face perception and speech communication In-Reply-To: References: Message-ID: [cid:1ecc587e-d58c-4096-b1c6-45d1980788d3] ANNOUNCING A NEW SPECIAL ISSUE or, as we say in the Open Access, On-Line World, A New Thematic Series for Cognitive Research: Principles and Implications (CRPI) Face coverings: Considering the implications for face perception and speech communication Deadline: manuscripts should be submitted before September 1, 2021 Guest editors Dr Karen Lander – University of Manchester (UK), Karen.Lander at manchester.ac.uk Dr Gabrielle Saunders – University of Manchester (UK), Gabrielle.Saunders at manchester.ac.uk In response to the global covid-19 pandemic, many governments around the world around the world required (or strongly) recommended the wearing of face coverings (masks) in public spaces – many of these restrictions remain in place today. While the wearing of face coverings to prevent spread of disease is fairly common in some Asian countries, it seems likely that their use elsewhere will continue, even after the immediate risk of covid-19 subsides. Face coverings obscure the mouth and nose area of the face, leaving just the eye area exposed. As a result, they limit the information that a listener/observer can obtain from the face. This impacts perception of facial expressions and emotions, as well as access to cues for lip reading. Indeed, wearing a mask is known to conceal cues to human expression recognition (Carbon et al., 2020) and adversely affects human interaction and communication (Saunders et al., 2020; Wild & Korneld, 2021). Wearing a mask muffles the sound of the voice and makes it more challenging to understand speech by covering up cues to speech available from the face (Mheidly, Fares, Zalzale & Fares, 2020). Furthermore, there are reports of difficulties of matching for identity when face coverings are worn (Carragher & Hancock, 2020) and crimes being conducted with face coverings being used a means of disguise (Babwin & Dazio, 2020; Southall & Van Syskle, 2020). Face masks also present a challenge to computational face and speech recognition systems and algorithms, leading to problems in identity verification and speech recognition (Ngan, Grother & Hanaoka, 2020). The proposed thematic series will highlight new work that characterizes the consequences of face masks on (a) the recognition and interpretation of facial expressions and emotions, (b) communication and social interactions, and (c) human and computational identity recognition and disguise. These will be addressed within the broad context of ways in which face perception and communication may change, comparisons of the social impact of face coverings in societies in which they are common versus those in which they are a new phenomenon, and changes in perceived interpersonal communication. The overall goal is to develop accounts of how and why face coverings influence our face perception and speech communication, with specific attention to the relevant cognitive and behavioural mechanisms, as well as the practical implications and limitations. If you have questions as to whether your work would be a good fit for this Article Collection, we welcome presubmission inquiries. Please send an abstract and inquiry to one of the Editors. CRPI is the open access journal of the Psychonomic Society. Its mission is to publish use-inspired basic research: fundamental cognitive research that grows from hypotheses about real-world problems. As with all Psychonomic Society journals, submissions to CRPI are subject to rigorous peer review. For manuscripts accepted for the special issue, the publication fee may be fully or partially waived depending on the number of manuscripts accepted for the special issue. The authors should indicate when they submit a manuscript if they are requesting a waiver of the publication fee. Questions about fees can be directed to the Editor-in-Chief, Jeremy Wolfe, jwolfe at bwh.harvard.edu Deadline: manuscripts should be submitted before September 1, 2021 You can find manuscript submission details at http://cognitiveresearchjournal.springeropen.com/submission-guidelines/preparing-your-manuscript Dr Karen Lander | PhD SFHEA Senior Lecturer in Experimental Psychology | Co-Director MRes Psychology 3.17, Zochonis Bldg | Division of Neuroscience & Experimental Psychology t: +44 (0)161 275 7997 | e: karen.lander at manchester.ac.uk -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Outlook-bsysfsld.png Type: image/png Size: 123779 bytes Desc: Outlook-bsysfsld.png URL: From david.white at unsw.edu.au Thu Jun 24 00:33:52 2021 From: david.white at unsw.edu.au (David White) Date: Wed, 23 Jun 2021 23:33:52 +0000 Subject: [Face-research-list] Glasgow Face Matching Test 2 (GFMT2) Message-ID: <23818344-7F4F-4821-91D0-803D5B332CBD@unsw.edu.au> GLASGOW FACE MATCHING TEST 2 (GFMT2) A new psychometric test of face matching ability has been developed by UNSW Sydney and University of York and is freely available for scientific use. White, D., Guilbert, D., Varela, V.P.L. Renkins, R., & Burton, A. M. (2021). GFMT2: A psychometric measure of face matching ability. Behavior Research Methods. https://doi.org/10.3758/s13428-021-01638-x GFMT2 is a new expanded version of the original Glasgow Face Matching Test. Test forms include: GFMT2-S: A short 80 item test with test-retest reliability over a week r = 0.774. There are two equally difficult 40-item forms for use in experimental intervention studies. GFMT-Low: Specifically designed to target lower than average performers, suited for assessing acquired or developmental prosopagnosia. GFMT2-High: Specifically designed to target higher than average performers, suited for assessing super-recognisers and certain professional groups. Short tests do not contain repeating identities, nor items from the original GFMT. Image pairs now include variation in head angle, pose, expression and subject-to-camera distance, making the new test more difficult and more representative of challenges in everyday face identification tasks. The publication is available here: https://rdcu.be/cm1YR Executable versions of the test are available for PC and MAC via: www.gfmt2.org From p.j.b.hancock at stir.ac.uk Mon Jun 28 14:16:22 2021 From: p.j.b.hancock at stir.ac.uk (Peter Hancock) Date: Mon, 28 Jun 2021 13:16:22 +0000 Subject: [Face-research-list] International Association of Craniofacial Identification symposium July 2021 Message-ID: INVITATION to the International Association of Craniofacial Identification (IACI) One-day Symposium - 23 July 2021 The IACI conference in Liverpool has been postponed to July 2022 due to the continued pandemic. However, we will be hosting a one-day online symposium as an IACI free taster event on 23 July 2021, 10am - 15:30pm BST. The theme of the event will be: 'Race and Face: bias in forensic and archaeological investigation' Keynote speakers will be: * Race and Forensic Investigation - Prof Amade M'Charek, University of Amsterdam * Race and Facial Recognition Algorithms - Dr Jonathon Phillips, National Institute of Standards and Technology's Information Technology Laboratory * Race and Super-recognisers - Dr Josh Davis, University of Greenwich * Race and Forensic Genetics - Dr David Skinner, Anglia Ruskin University * Historical ethnographic craniofacial collections - Dr Tobias Houlton, University of Dundee There will be an online poster event and the opportunity for some short presentations on any of the following topics: Facial identification of the dead * Facial reconstruction/approximation * Craniofacial anatomy * Craniofacial superimposition * Depiction of preserved remains for museum exhibition * Ethical issues relating to the presentation of faces of the dead * DNA analysis for facial depiction of skeletal remains * Migrant disaster victim identification * CGI and animation Facial identification of the living * Age progression * Eyewitness composites * DNA-to-face * Facial recognition * CCTV analysis * Facial morphing and deep fakes If you would like to present a short paper or poster at this symposium, please submit an abstract with your name and affiliation to facelab at ljmu.ac.uk by 1 July 2021. Details of how to access the symposium will be sent out at a later date. Please forward this to any interested parties. Dr Sarah Shrimpton BA (Hons), MSc, AFHEA, PhD Research Assistant, Face Lab IC1 Liverpool Science Park, 131 Mount Pleasant, Liverpool, L3 5TF tel: 0151 482 9609 (Direct) or 0151 482 9605 (Lab) email:s.l.shrimpton at ljmu.ac.uk ________________________________ Important Notice: Liverpool John Moores University was established as a Higher Education Corporation under section 121 of the Education Reform Act 1988. Further information about Liverpool John Moores University can be found at https://www.ljmu.ac.uk/about-us The information in this email and any attachments is for the sole use of the intended recipient(s). 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For information about how we process personal data and monitor communications please see our Privacy Notice. https://www.ljmu.ac.uk/legal/privacy-and-cookies ________________________________ The University achieved an overall 5 stars in the QS World University Rankings 2020 UK Sports University of the Year 2020 (Times Higher Good University Guide) The University of Stirling is a charity registered in Scotland, number SC 011159. -------------- next part -------------- An HTML attachment was scrubbed... URL: From abhijitdas2048 at gmail.com Tue Jun 29 06:28:23 2021 From: abhijitdas2048 at gmail.com (ABHIJIT DAS) Date: Tue, 29 Jun 2021 10:58:23 +0530 Subject: [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). Message-ID: 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 *. *For submission* log into *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. -------------- next part -------------- An HTML attachment was scrubbed... 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