Face-research-list

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Models of Human Face Perception PhD at Stirling

by Peter Hancock

PhD Studentship: Models of Human Face Perception We have a studentship available for UK/EU citizens to work in the Face Research Lab with Professor Peter Hancock. The aim is to work on a computer model of human face perception and recognition. Such a model should show characteristics of human perception, for example being very good at recognising familiar faces but rather poor with unfamiliar ones, yet still able to derive things like age, sex, race and expression. The student will join a much larger project, FACER2VM, where the aim is to improve the state of the art in computer face recognition 'in the wild'. Working with two postdocs who are studying human face recognition, the aim of this studentship is to further our understanding of how we may do it; it is explicitly not a hard-core, squeeze the best you can out of a deep neural network project. The successful candidate will need good programming skills, for example in Matlab or Python. Ideally they will already also be familiar with the psychology of human face perception. The studentship is available for three-years, and includes a tax-free stipend of approximately £14,553 p.a. Tuition fees will be met by the University at the home/EU rate. Subject to satisfactory progress review at the end of the first year, the studentship will be renewed for a second year and thereafter for a third year. The studentship will have an anticipated registration date of 1 October 2017. Informal enquiries to Peter Hancock, pjbh1(a)stir.ac.uk<mailto:pjbh1@stir.ac.uk> or Linda Cullen (linda.cullen(a)stir.ac.uk<mailto:linda.cullen@stir.ac.uk> Tel: +44 (0) 1786 466854. Please submit a CV and research proposal via the online application, selecting 'Research Degree in Psychology': http://www.stir.ac.uk/postgraduate/how-to-apply/ Once you have started the application process, please email research.admissions(a)stir.ac.uk<mailto:research.admissions@stir.ac.uk> to ask to be exempted from the 'find-a-supervisor' process. Closing date: 28th July Peter Hancock Professor, Deputy Head of Psychology, Faculty of Natural Sciences University of Stirling FK9 4LA, UK phone 01786 467675 fax 01786 467641 http://stir.ac.uk/190 http://orcid.org/0000-0001-6025-7068 http://www.researcherid.com/rid/A-4633-2009 Psychology at Stirling: 100% 4* Impact, REF2014 Come and study Face Perception at the University of Stirling! Our unique MSc in the Psychology of Faces is open for applications. For more information see http://www.stir.ac.uk/postgraduate/programme-information/prospectus/psychol… [highly cited 2016]

8 years, 4 months

Unique PhD opportunity in Face Recognition at UNSW Sydney

by David White

Unique PhD opportunity in Face Recognition at UNSW Sydney **Deadline for Expressions of Interest 20 July!** ===================================================================================== We are seeking a talented and enthusiastic PhD student to join our face recognition team at UNSW Sydney. The position is open to both Australian and International applicants, and we are inviting applications from graduates in all areas of cognitive science. The PhD will be funded by UNSW's Scientia Scholarship scheme, which is seeking scholars with a strong commitment to making a difference in the world. Successful applicants will be funded for 4 years with a stipend of $40k per annum (plus an additional $10k p/a travel and support package). In addition, international students will be awarded a tuition fee scholarship for 4 years. UNSW Scientia Scholars will also benefit from enhanced professional and career development opportunities, for more information visit: http://www.2025.unsw.edu.au/apply/ The successful applicant will be supervised by cognitive psychologists David White, Richard Kemp and Alice Towler from the UNSW Forensic Psychology Group (http://forensic.psy.unsw.edu.au/). They will conduct original research that complements our ongoing interest in people with superior abilities in face identification. Our group has many active research partnerships with leading academics as well as government and industry experts in this field, and we expect the research project to benefit from these linkages. We invite applications from graduates in psychology and those with complementary backgrounds in other areas of cognitive science. A computer science background is not essential. We are also very interested to hear from applicants with experience in government and private research sectors. For more information on the project, and to submit your Expression of Interest please visit the following webpage (before 20 July only): http://www.2025.unsw.edu.au/apply/scientia-phd-scholarships/fusing-human-ex… For informal queries please contact: david.white(a)unsw.edu.au

8 years, 5 months

2nd CFP: IHCI 2017 - Intelligent Human Computer Interaction (DL: 30/6)

by Catherine Achard

2nd Call For Papers Apologies for unintended cross-posting ================================================================================= IHCI 2017: 9th International Conference on Intelligent Human-Computer Interaction Evry, France, December 11-13, 2017, http://ihci2017.sciencesconf.org ================================================================================= The 9th international conference on Intelligent Human Computer Interaction (IHCI 2017) will be held in Evry, near Paris, France, from 11 to 13 of December 2017. IHCI allows researchers and practitioners to exchange on recent results in the area of human-computer interaction, related technologies (including signal processing, multimodal analysis, artificial intelligence, machine learning and cognitive modelling) and their applications. The conference will bring together researchers from academia, industry and research organizations from various disciplines, around theoretical, practical and application-oriented contributions. This year, along with usual topics, IHCI 2017 will focus on human cognition modelling for interaction, including human cognitive process modelling (for task analysis...), human-robot interaction (for companion robots...), cognition for interaction in virtual worlds (for autonomous conversational agents...). Keynotes will be given by : - Pr. Alain Berthoz, Honorary Professor at Collège de France, member of the French Academy of Science and Academy of Technology, on "Simplexity and vicariance. On human cognition principles for man-machine interaction" - Pr. Mohamed Chetouani, Professor at Pierre and Marie Curie University, France, on "Interpersonal Human-Human and Human-Robot Interactions", - Pr. Antti Oulasvirta, Associate Professor at Aalto University, Finland, on "Can Machines Design? Optimizing User Interfaces for Human Performance". The IHCI topics include but are not limited to: Human Cognition Modelling: - Cognitive models of intelligence - Modelling perceptual processes - Modelling of learning and thinking - Modelling of memory - Cognitive task analysis User adaptation and Personalization: - Adaptive learning - Affective computing for adaptive interaction - Reinforcement learning Brain Computer Interfaces: - Brain computer integration - Brain activity understanding for interaction Machine Perception of Humans: - Speech detection and recognition - Natural language processing - Face and emotion detection - Body sensors and communication - Gesture recognition - Human motion tracking Tactile interfaces: - Haptics fundaments - Haptic feedback for interaction - Haptic feedback for robot collaboration Human-Robot Interaction and collaboration: - Collaborative learning - Collaborative systems - Temporal coordination modelling Applications: - Natural User Interfaces - Human-robot interaction - Virtual and augmented reality - Remote and face-to-face collaboration - Embodied conversational agents - Mobile interfaces - Interface design for accessibility and rehabilitation - Interaction and cognition for education - Health - Serious games --------------------------------------------------------------------------------------- **NEW:* The conference proceedings will be published as an open access volume in the Springer series Lecture Notes in Computer Science (LNCS) and indexed in the ISI Conference Proceedings Citation Index, Scopus, EI Engineering Index, Google Scholar, DBLP, etc. Papers can be either long papers (10 to 12 pages) or short papers (4 to 6 pages), and must conform to the LNCS templates (see the guidelines for authors). * --------------------------------------------------------------------------------------- Papers must be written in English and describe original work that has not been published and is not under review elsewhere. In order to enforce blind reviewing, papers must be made anonymous before submitting (by removing the author’s names and institution from the header). Important dates: - Submission deadline: *June 30, 2017 (EXTENDED) * - Decision notification: September 10, 2017 (tentative) - Final version due: October 1st, 2017 Patrick Horain (Telecom SudParis), Chair Catherine Achard (Université Pierre et Marie Curie), Co-Chair Malik Mallem (Université Evry Val d'Essonne), Co-Chair

8 years, 5 months

Fw: Professional query!

by Catriona.Havard

Dear all I hope you don't mind me forwarding this query from a friend of mine who is a Sleep Clinical Physiologist. If anyone can answers her query that would be great. Do you know if there is a standard system which can be used to measure an individual’s facial profile, either manually or using software? Our medical photography team take photos annually of patients using non-invasive ventilation, who may experience facial changes related to mask use, and we want to find a way to quantify any changes over time. There are patients where we can subjectively see a change, but we’re looking to find a way to assess this objectively. Looking in the literature, we can’t find anything for measuring points on the face - there are lots of papers measuring skull landmarks on cephalometric x-rays, but we’re looking for something we can do from photos to avoid irradiating patients if we can! It sounds like the sort of thing that must already exist, but we can’t seem to find it. I wondered if there might be anything that you use in the facial recognition field that we might be able to apply? Many thanks, Trina Dr Catriona Havard Senior Lecturer in Psychology The Open University Walton Hall Milton Keynes MK7 6AA Tel: 01908 654554 To see a selection of my papers click here To find out about about our new module Counselling and Forensic Psychology: Investigating crime and therapy click here<http://dd310.madorbad.org/>

8 years, 5 months

Vision Research Special Issue: Face perception: Experience, models and neural mechanisms

by Oruc, Ipek

Call for papers: Vision Research Special Issue Vision Research SI: Face perception: Experience, models and neural mechanisms Editors: Ipek Oruc, Benjamin Balas, Michael S. Landy Scope: Faces are ecologically significant stimuli central to social interaction and communication. Human observers possess a remarkable ability to recall great numbers of unique facial identities encountered in a lifetime. Observers can individuate faces seemingly effortlessly based on minor differences across exemplars, yet remain robust against tremendous variation across different images of the same identity. For these and other reasons face recognition is considered to be a form of specialized perceptual expertise. The last few decades have seen a flurry of research activity delineating the limits to this expertise. For example, face expertise fails to generalize to faces of unfamiliar races (“the other-race effect”) and to faces viewed in the inverted orientation (“the face inversion effect”). Despite this tremendous progress identifying the limits of specialized face perception, there is little consensus over the origins of this specialization and the forces that shape this extraordinary skill. Some researchers emphasize genetic and innate contributions. Others stress the key role played by experience during sensitive periods of early development. Yet others argue that face expertise is a dynamic ability continually reshaped by experience well into adulthood. The primary goal of this special issue is to bring together current research on this topic. Questions we would like to address include but are not limited to: What are the main contributors to face expertise: experiencing a large number of individual exemplars even if only during brief encounters (e.g., unfamiliar faces in a bus) or prolonged experience with a small number of faces (e.g., family interactions)? Can the other-race effect be eliminated (or even reversed)? If so, is this possible during adulthood or limited to early development? How does experience alter perceptual representations of faces and neural mechanisms underlying face recognition? We seek research papers that address the emergence and maintenance of face expertise that span the entire life cycle from development to adulthood as well as aging. Behavioural, neuroimaging, naturalistic observation and modelling approaches are all welcome. Deadline for submission is September 15, 2017. Prospective authors are encouraged to contact one of the editors (ipor(a)mail.ubc.ca<mailto:ipor@mail.ubc.ca>, bjbalas(a)gmail.com<mailto:bjbalas@gmail.com>, landy(a)nyu.edu<mailto:landy@nyu.edu>) with a tentative title prior to submission. For further information and author instructions: https://www.journals.elsevier.com/vision-research/call-for-papers/face-perc… _______________________________________________ Ipek Oruc Assistant Professor Department of Ophthalmology & Visual Sciences University of British Columbia Rm 4440 - 818 West 10th Avenue Vancouver, BC V5Z 1M9 email: ipor(a)mail.ubc.ca<mailto:ipor@mail.ubc.ca> URL: http://www.visualcognition.ca/ipek/

8 years, 5 months

CfP: IHCI 2017 - 9th International Conference on Intelligent Human-Computer Interaction

by Catherine Achard

Call For Papers Apologies for unintended cross-posting ================================================================================= IHCI 2017: 9th International Conference on Intelligent Human-Computer Interaction Evry, France, December 11-13, 2017, http://ihci2017.sciencesconf.org ================================================================================= The 9th international conference on Intelligent Human Computer Interaction (IHCI 2017) will be held in Evry, near Paris, France, from 11 to 13 of December 2017. IHCI allows researchers and practitioners to exchange on recent results in the area of human-computer interaction, related technologies (including signal processing, multimodal analysis, artificial intelligence, machine learning and cognitive modelling) and their applications. The conference will bring together researchers from academia, industry and research organizations from various disciplines, around theoretical, practical and application-oriented contributions. This year, along with usual topics, IHCI 2017 will focus on human cognition modelling for interaction, including human cognitive process modelling (for task analysis...), human-robot interaction (for companion robots...), cognition for interaction in virtual worlds (for autonomous conversational agents...). Keynotes will be given by : - Pr. Alain Berthoz, Honorary Professor at Collège de France, member of the French Academy of Science and Academy of Technology, on "Simplexity and vicariance. On human cognition principles for man-machine interaction" - Pr. Mohamed Chetouani, Professor at Pierre and Marie Curie University, on "Interpersonal Human-Human and Human-Robot Interactions", - Pr. Antti Oulasvirta, Associate Professor at Aalto University, on "Can Machines Design? Optimizing User Interfaces for Human Performance". The IHCI topics include but are not limited to: Human Cognition Modelling: - Cognitive models of intelligence - Modelling perceptual processes - Modelling of learning and thinking - Modelling of memory - Cognitive task analysis User adaptation and Personalization: - Adaptive learning - Affective computing for adaptive interaction - Reinforcement learning Brain Computer Interfaces: - Brain computer integration - Brain activity understanding for interaction Machine Perception of Humans: - Speech detection and recognition - Natural language processing - Face and emotion detection - Body sensors and communication - Gesture recognition - Human motion tracking Tactile interfaces: - Haptics fundaments - Haptic feedback for interaction - Haptic feedback for robot collaboration Human-Robot Interaction and collaboration: - Collaborative learning - Collaborative systems - Temporal coordination modelling Applications: - Natural User Interfaces - Human-robot interaction - Virtual and augmented reality - Remote and face-to-face collaboration - Embodied conversational agents - Mobile interfaces - Interface design for accessibility and rehabilitation - Interaction and cognition for education - Health - Serious games Regular (5 to 8 pages) and short papers (3 to 4 pages) describing original work in any of the Human Computer Interaction areas are welcome and will be published by an established scientific editor (previous proceedings were published by IEEE, Springer or Elsevier). Papers must be written in English and describe original work that has not been published and is not under review elsewhere. In order to enforce blind reviewing, papers must be made anonymous by removing the author’s names and institution from the header. Papers must be written in English using the templates and guide for authors (coming soon). Important dates: - Submission deadline: June 20, 2017 - Decision notification: September 10, 2017 (tentative) - Final version due: October 1st, 2017 Patrick Horain (Telecom SudParis), Chair Catherine Achard (Université Pierre et Marie Curie), Co-Chair Malik Mallem (Université Evry Val d'Essonne), Co-Chair

8 years, 6 months

2nd CFP: 5th EmotiW challenge @ ACM ICMI 2017

by abhinav dhall

Apologies for cross-postings 2nd Call for challenge participation Train and Validation data is available now! Fifth Emotion Recognition in the Wild (EmotiW) Challenge 2017 https://sites.google.com/site/emotiwchallenge @ ACM International Conference on Multimodal Interaction 2017, Glasgow --------------------------------------------------------------------- The Fifth Emotion Recognition in the Wild 2017 Challenge consists of multimodal classification challenges, which mimics real-world conditions. Traditionally, emotion recognition has been performed on laboratory controlled data. While undoubtedly worthwhile at the time, such lab controlled data poorly represents the environment and conditions faced in real-world situations. With the increase in the number of video clips online, it is worthwhile to explore the performance of emotion recognition methods that work ‘in the wild’. There are two sub-challenges: audio-video based emotion recognition in videos and group-level emotion recognition in the images (new). Timeline: Train and validate data - available now Test data available: 8 July 2017 Last date for uploading the results: 23 July 2017 Paper submission deadline: 10 August 2017 Notification: 1 September 2017 Camera-ready papers: 21 September 2017 Organisers Abhinav Dhall, Roland Goecke, Jyoti Joshi, Jesse Hoey and Tom Gedeon Contact emotiw2014(a)gmail.com -- Abhinav Dhall, PhD Assistant Professor, Indian Institute of Technology Ropar

8 years, 6 months

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8 years, 6 months

Fully Funded PhD Studentship at the University of Winchester, UK

by Daniel.Gill

Fully Funded PhD Studentship at the University of Winchester, UK The position is open to both UK/EU and international students Face and voice perception – towards an understanding of multimodal processing of emotion. Applications are invited for a 3-year, fully funded PhD position under the supervision of Prof. Maria Uther, Dr. Daniel Gill and Dr. Jordan Randell. Our research group is seeking a PhD student to take part in an exciting study of multimodal processing of emotion. The project is led by Prof. Uther (voice perception), Dr. Gill (face perception) and Dr. Jordan Randell (emotions and experimental methods) in the Department of Psychology. Research on detection of emotion has historically focused on single modality (face or voices). However, a PhD would provide an ideal opportunity to explore the complementarity of visual (face) and auditory (voice) input in the perception of emotions and the interaction of information from both modalities. The project will involve innovative EEG/ERP and behavioural methods. Previous experience in EEG/ERP studies is not necessary. Training in computational and neuroscientific approaches would allow the student to develop practical and technical skills in this field. Requirements - Master degree in Psychology, Cognitive Science, Neuroscience, Biology, Computer Science, Statistics or related disciplines with excellent results. - Fluency in English For further instructions prospective students are required to contact Prof. Uther (maria.uther(a)winchester.ac.uk) or Dr. Gill (daniel.gill(a)winchester.ac.uk) by email no later than May 10th, 2017. _________________________________ Dr Daniel Gill Department of Psychology Room HJB205 University of Winchester Phone (office): +44 (0)1413301677 e-mail Daniel.Gill(a)winchester.ac.uk [http://www.winchester.ac.uk/PublishingImages/Email%20signature%20March%2020…] University of Winchester, a private charitable company limited by guarantee in England and Wales number 5969256. Registered Office: Sparkford Road, Winchester, Hampshire SO22 4NR

8 years, 6 months

eNTERFACE'17 Call for Participation: Deadline Extended to May 7th

by Luís Teixeira

(Apologies for multiple postings) -------------------------------------------------------------------------------------------------- 13th International Summer Workshop on Multimodal Interfaces (eNTERFACE'17) July 03-28, 2017, Porto, Portugal. http://artes.ucp.pt/enterface17 Call for Participation Extended Submission Deadline: May 07, 2017(Firm) -------------------------------------------------------------------------------------------------- The Digital Creativity Centre (CCD), Universidade Catolica Portuguesa - School of Arts (Porto, Portugal) invites researchers from all over the world to join eNTERFACE'17, the 13th one-month Summer Workshop on Multimodal Interfaces. During this workshop, senior project leaders, researchers, and students gather in one single place to work in teams on pre-specified challenges for 4 weeks long. Each team has a project defined and will address specific challenges. Senior researchers, PhD students, or undergraduate students interested in participating to the Workshop should send their application by emailing before 7th of May 2017(extended) to enterface17(a)porto.ucp.pt (Guidelines for researchers applying to a project<http://artes.ucp.pt/enterface17/authors-kit/Guidelines.for.researchers.appl…>). Participants must procure their own travel and accommodation expenses. Information about the venue location and stay are provided on the eNTERFACE'17 website. Note that although no scholarships are available for PhD students, there are no application fees. The list of projects that participants can choose from is the following. How to Catch A Werewolf, Exploring Multi-Party Game-Situated Human-Robot Interaction Lead-Organizers: Catharine Oertel, KTH (PI), Samuel Mascarenhas, INESC-ID, Zofia Malisz, KTH, José Lopes, KTH, Joakim Gustafson, KTH In this project we will focus on the implementation of the roles of the "villager" and the "werewolves" using the IrisTK dialogue framework and the robot head Furhat. To be more precise, the aim of this project is to use multi-modal cues in order to inform the theory of mind model to drive the robot's decision making process. Theory of mind is a concept that is related to empathy and it refers to the cognitive ability of modeling and understanding that others have different beliefs and intentions than our own. In lay terms, it can be described as "to put oneself into another's shoes" and it is a crucial skill to properly play a deception game like "Werewolf". Full Project Description<http://artes.ucp.pt/enterface17/proposals/02.Final%20Proposal_Catharine.Oer…> KING'S SPEECH Foreign language: pronounce with style! Principal investigators: Georgios Athanasopoulos*, Céline Lucas* and Benoit Macq* (ICTEAM-ELEN - Université Catholique de Louvain, Belgium) The principal investigators are developing the GRAAL1 project which is concerned with developing a set of tools to facilitate self-training on foreign language pronunciation, with the first target being learning French. The goal of KING'S SPEECH is to develop new interaction modalities and evaluate them in combination with existing functionality aiming to better personalize GRAAL to the taste and specificities of each learner. This personalization will rely on a machine learning approach and an experimental set-up to be developed during eNTERFACE'17. The eNTERFACE'17 developments could be based on a karaoke scenario where the song is replaced by some authentic sentences (extracts of news, films, publicities, etc.). Applications like SingStar (Sony) or JustSing (Ubisoft) could also serve as a source of inspiration, e.g., using a smartphone as a microphone while interacting with avatars. Full Project Description<http://artes.ucp.pt/enterface17/proposals/02.Final%20Project_King's%20speech.pdf> The RAPID-MIX API: a toolkit for fostering innovation in the creative industries with Multimodal, Interactive and eXpressive (MIX) technology Principal Investigators Francisco Bernardo, Michael Zbyszynski, Rebecca Fiebrink, Mick Grierson (EAVI - Embodied AudioVisual Interaction group, Goldsmiths University of London, Computing), Team Candidates Sebastian Mealla , Panos Papiotis (MTG/UPF - Music Technology Group, Universitat Pompeu Fabra), Carles Julia, Frederic Bevilacqua , Joseph Larralde (IRCAM - Institut de Recherche et Coordination Acoustique/Musique) Members of the RAPID-MIX project are building a toolkit that includes a software API for interactive machine learning (IML),digital signal processing (DSP), sensor hardware, and cloud-based repositories for storing and visualizing audio, visual, and multimodal data. This API provides a comprehensive set of software components for rapid prototyping and integration of new sensor technologies into products, prototypes and performances. We aim to investigate how developers employ and appropriate this toolkit so we can improve it based on their feedback. We intend to kickstart the online community around this toolkit with eNTERFACE participants as power users and core members, and to integrate their projects as demonstrators for the toolkit. Participants will explore and use the RAPID-MIX toolkit for their creative projects and learn workflows for using embodied interaction with sensors Full Project Description<http://artes.ucp.pt/enterface17/proposals/02.Final%20Project_RAPID-MIX.pdf> Prynth Principal investigator: Ivan Franco (IDMIL / McGill University) Prynth is a technical framework for building self-contained programmable synthesizers, developed by Ivan Franco at the Input Devices and Music Interaction Lab (IDMIL) of McGill University. The goal of this new framework is to support the rapid development of a new breed of digital synthesizers and their respective interaction models. Full Project Description<http://artes.ucp.pt/enterface17/proposals/02.Final%20Proposal_prynth.pdf> End-to-End Listening Agent for Audio-Visual Emotional and Naturalistic Interactions Principal Investigators: Kevin El Haddad (TCTS Lab - numediart institute - University of Mons, Belgium), Yelin Kim (Inspire Lab - University at Albany, State University of New York, USA), Hüseyin Çakmak (TCTS Lab - numediart institute - University of Mons, Belgium) In this project, we aim at building a listening agent that would react with a naturalistic and human-like behavior and using nonverbal expressions to a user. The agent's behavior will be modeled by and built on three main components: recognizing and synthesizing emotional and nonverbal expressions, and predicting the next expression to synthesize based on the currently recognized expressions. Its behavior will be rendered on a previously developed avatar which will also be improved during this workshop. At the end we should obtain functioning and efficient modules which ideally should work in real-time. Full Project Description<http://artes.ucp.pt/enterface17/proposals/02.Final%20Proposal_listening%20a…> Cloud-based Toolbox for Computer Vision Principal investigator: Dr. Sidi Ahmed MAHMOUDI from the Faculty of Engineering at the University of Mons. Belgium. Candidates: Dr. Fabian LECRON, PhD, Faculty of Engineering at the University of Mons. Belgium, Mohammed Amin BELARBI, PhD Student, Faculty of Exact sciences and Mathematics, University of Mostaganem, Algeria, Mohammed EL ADOUI, PhD Student, Faculty of Engineering, University of Mons, Belgium, Abdelhamid DERRAR, Student in Master University of Lyon, France, Pr. Mohammed BENJELLOUN, PhD, Faculty of Engineering, University of Mons, Belgium, Pr. Said MAHMOUDI, PhD, Faculty of Engineering, University of Mons, Belgium. Nowadays, images and videos have been present everywhere, they can come directly from camera, mobile devices or from other peoples that share their images and videos. The latter are used to present and illustrate different objects in a large number of situations (public areas, airports, hospitals, football games, etc.). This makes from image and video processing algorithms a very important tool used for various domains related to computer vision such as video surveillance, human behavior understanding, medical imaging and database (images and videos) indexation methods. The goal of this project is develop an extension of our cloud platform (MOVACP) developed in the previous edition of eNTERFACE'16 workshop. The latter integrated several image and video processing applications. The users of this platform can use these methods without having to download, install and configure the corresponding software. Each user can select the required application, load its data and retrieve results, with an environment similar to desktop. Within eNTERFAC'17 workshop, we would like to improve and develop four main tools for our platform: 1. Integration of the major image and video processing algorithms that could be used by guests to perform their own applications. 2. Integration of machine learning methods (used for images and videos indexation) that exploit the uploaded data of users (is they accept of course) in order to improve the results precision. 3. Fast treatment of data acquired from IOT systems. 4. Development of an online 3D viewer that could be used for the visualization of 3D reconstructed medical images. 4. Fast treatment of data acquired from distant IoT systems. Keywords cloud computing, image and video processing, video surveillance, medical imaging. Full Project Description<http://artes.ucp.pt/enterface17/proposals/02.Final%20Project_CMP.pdf> Across the virtual bridge Project Coordinators: Thierry RAVET (software design, motion signal processing, machine learning), Fabien GRISARD (software design, human-computer interface), Ambroise MOREAU (computer vision, software design), Pierre-Henri DE DEKEN (software design, game engine) - Numediart Institute, University of Mons, Belgium. The goal of the project is to explore different ways of creating interactions between people evolving in the real world (local players) and people evolving in a virtual representation of the same world (remote players). This latter one will be explored thanks to a virtual reality headset while local players will be geo-located through an app on a mobile device. Actions executed by remote players will be perceived by local players in the form of a sound or visual content and actions performed by local players will impact the virtual world as well. Local players and remote players will be able to exchange information with each other. Keywords: Virtual world, mixed reality, computer-mediated communication . Full Project Description<http://artes.ucp.pt/enterface17/proposals/02.Final%20Project_AcrossTheVirtu…> ePHoRt project: A telerehabilitation system for reeducation after hip replacement surgery Principal investigators: Yves Rybarczyk (Nova University of Lisbon, Portugal), Arián Aladro (Universidad de las Américas, Ecuador), Mario Gonzalez (Health and Sport Science from University of Zaragoza - Spain), Santiago Villarreal (Universidad de las Américas - Quito, Ecuador), Jan Kleine Detersa (University of Twente in Human Media Interaction) This project aims to develop a web-based system for the remote monitoring of rehabilitation exercises in patients after hip replacement surgery. The tool intends to facilitate and enhance the motor recovery, due to the fact that the patients will be able to perform the therapeutic movements at home and at any time. As in any case of rehabilitation program, the time required to recover is significantly diminished when the individual has the opportunity to practice the exercises regularly and frequently. However, the condition of such patients prohibits transportations to and from medical centres and many of them cannot afford a private physiotherapist. Thus, low-cost technologies will be used to develop the platform, with the aim to democratize its access. For instance, the motion capture system will be based on the Kinect camera that provides a good compromise between accuracy and price. The project will be divided into four main stages. First, the architecture of the web-based system will be designed. Three different user interfaces will be necessary: (i) one to record quantitative and qualitative data from the patient, (ii) another for the therapist consulting the patient's performance and adapting the exercises accordingly, and (iii) for the physician having a medical supervision of the recovery process. Second, it will be essential to develop a module that performs an automatic assessment and validation of the rehabilitation activities, in order to provide a real-time feedback to the patient regarding the correctness of the executed movements. Third, we also intend to make use of a serious game and affective computing approaches, with the intention of motivating the user to perform the exercises for a sustainable period of time. Finally, an ergonomic study will be carried out, in order to evaluate the usability of the system. Full Project Description<http://artes.ucp.pt/enterface17/proposals/02.Final%20Proposal_Full_proposal…> Big Brother can you find, classify, detect and track us ? Principal investigators: Marc Décombas, Jean Benoit Delbrouck (TCTS Lab - University of Mons, Belgium) In this project, we will build a system that can detect, recognize objects or humans and describe them as much as possible on video. Objects may be moving as well as the people coming in and out of the visual field of the camera(s). Our project will be split into three main tasks : detection and tracking, people re-identification, image/video captioning The system should work in real time and should be able to detect people and follow them, re-identify them when they come back in the field and give a textual description of what each people is doing. Full Project Description<http://artes.ucp.pt/enterface17/proposals/02.Final%20Proposal_BigBrother.pdf> Networked Creative Coding Environments Principal investigator: Andrew Blanton, Digital Media Art at San Jose State University As a part of ongoing research Andrew Blanton will present a workshop using Amazon Web Servers for the creation of networked art. The workshop will demonstrate sending data from Max/MSP to a Unix based Amazon Web Server and receiving data into a p5.js via websockets. The workshop will explore the critical discourse surrounding data as a borderless medium and the ideas and potentials of using a medium that can have global reach . Full Project Description<http://artes.ucp.pt/enterface17/proposals/02.FinalProposal_NCCE.pdf> AUDIOVISUALY EXPERIENCE THROUGH IMAGE HOLOGRAPHY Principal investigator: Maria Isabel Azevedo ( ID+ Research Institute for Design, Media and Culture, University of Aveiro), Elizabeth Sandford-Richardson ( University of the Arts, Central Saint Martins College of Art and Design Today in interactive art, there are not only representations that speak of the body but actions and behaviours that involve the body. In digital holography, the image appears and disappears from the observer's vision field; because the holographic image is light, we can see multidimensional spaces, shapes and colours existing on the same time, presence and absence of the image on the holographic plate. And the image can be flowing in front of the plate that sometimes people try touching it with his hands. That means, to the viewer will be interactive events, with no beginning or end that can be perceived in any direction, forward or backward, depending on the relative position and the time the viewer spends in front of the hologram. In this workshop we are proposing an audiovisual interactive installation composed by four digital holograms and spatial soundscape. When viewers move in front of each hologram, different sources of sound are trigger. The outcome will be presented in the last week of July with an invited performer. We are looking for sound designers and interaction programmers. Keywords: Digital holographic image, holographic performance, sound spatialization, motion capture Full Project Description<http://artes.ucp.pt/enterface17/proposals/02.FinalProposal_holo.pdf> Study of the reality level of VR simulations Principal investigators: Andre Perrotta, UCP/CITAR We propose to develop a VR simulation based on 360o video, spatialized audio and force feedback using fans and motors, of near collision experiences of large vehicles on a first person perspective, to be experienced by users wearing head-mounted stereoscopic VR gear in a MOCAP (motion capture) enabled environment that enables a one-to-one relationship between real and virtual worlds. ............................................................ AVISO DE CONFIDENCIALIDADE Esta mensagem (incluindo quaisquer anexos) pode conter informação confidencial ou legalmente protegida para uso exclusivo do destinatário. Se não for o destinatário pretendido da mesma, não deverá fazer uso, copiar, distribuir ou revelar o seu conteúdo (incluindo quaisquer anexos) a terceiros, sem a devida autorização. Se recebeu esta mensagem por engano, por favor informe o emissor, por e-mail, e elimine-a imediatamente. Obrigado. ............................................................ CONFIDENTIALITY NOTICE This message may contain confidential information or privileged material, and is intended only for the individual(s) named. If you are not the named addressee, you should not disseminate, distribute or copy this e-mail. Please notify the sender immediately by e-mail if you have received this e-mail by mistake and delete this e-mail from your system. Thank you.

8 years, 7 months

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