DE-ENIGMA: Multi-Modal Human-Robot Interaction for Teaching and Expanding Social Imagination in Autistic Children

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Functional requirements, interactions and constraints
Ethical clearances - update M46

Updated report from D1.1 including copies of further ethical clearances for UCL and SSA.

Report of User Requirements Analysis

Report of User Requirements Analysis: Document with overview of relevant theory, measures and models, specification of user requirements and needs as well as usage scenarios to inform the development of the DE-ENIGMA robot assisted therapy-based game. Preliminary earlier version to be agreed.

Second report on internal evaluation processes

Report on the results of internal evaluation processes during the second year of the project.

Final report on internal evaluation processes

Report on the results of internal evaluation processes during the final period of the project.

Third report on internal evaluation processes

Report on the results of internal evaluation processes during the third year of the project.

Overall Dissemination Plan
Ethical clearances - update M30

Updated report from D1.1 including copies of further ethical clearances for UCL and SSA.

DE-ENIGMA progress report YR2

Report on the general progress of the project in relation to the DoA.

Exploitation Plan
Ethical clearances

Very concise report including copies of ethical clearances for UCL and SSA.

Data Management Plan
Ethical clearances - update M21

Updated report from D1.1 including copies of further ethical clearances for UCL and SSA.

DE-ENIGMA progress report YR3

Report on the general progress in the project in relation to the DoA.

DE-ENIGMA final progress report

Report on the general progress of the project in relation to the DoA.

DE-ENIGMA progress report YR1

Report on the general progress in the project in relation to the DoA. Preliminary earlier version to be agreed.

Description of Validation results of full integrated system

Manuscripts describing the behavioural tasks and validation with children with and without autism and the results of the clinical trial, and a manuscript describing the full integrated system.

First report on internal evaluation processes

Report on the results of internal evaluation processes during the first year of the project. Preliminary earlier version to be agreed.

Battery of Validated Behavioural Tasks

Battery of validated behavioural tasks measuring the perception, recognition, understanding and expression of socioemotional cues using robot and human stimuli. These tasks will be made freely available to researchers via our website (probably in a zip file) with documentation.

Pubblicazioni

Dialogue Design for a Robot-Based Face-Mirroring Game to Engage Autistic Children with Emotional Expressions

Autori: Pauline Chevalier, Jamy J. Li, Eloise Ainger, Alyssa M. Alcorn, Snezana Babovic, Vicky Charisi, Suncica Petrovic, Bob R. Schadenberg, Elizabeth Pellicano, Vanessa Evers
Pubblicato in: Social Robotics. ICSR 2017, Numero LNCS 10652, 2017, Pagina/e 546-555, ISBN 978-3-319-70022-9
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-70022-9_54

An Image-based Deep Spectrum Feature Representation for the Recognition of Emotional Speech

Autori: Nicholas Cummins, Shahin Amiriparian, Gerhard Hagerer, Anton Batliner, Stefan Steidl, Björn W. Schuller
Pubblicato in: Proceedings of the 2017 ACM on Multimedia Conference - MM '17, Numero MM'17, 2017, Pagina/e 478-484, ISBN 9781450349062
Editore: ACM Press
DOI: 10.1145/3123266.3123371

Affect bursts to constrain the meaning of the facial expression of the humanoid robot Zeno

Autori: Schadenberg, B. R., Heylen, D. K. J., & Evers, V.
Pubblicato in: Proceedings of the 1st Workshop on Social Interaction and Multimodal Expression for Socially Intelligent Robots (RO-MAN 2017), Numero vol. 2059, 2018, Pagina/e 30-39
Editore: CEURS-WS

Does She Speak RTT? Towards an Earlier Identification of Rett Syndrome Through Intelligent Pre-Linguistic Vocalisation Analysis

Autori: Florian B. Pokorny, Peter B. Marschik, Christa Einspieler, Björn Schuller
Pubblicato in: Interspeech 2016, 2016, Pagina/e 1953-1957
Editore: ISCA
DOI: 10.21437/Interspeech.2016-520

Automatic Analysis of Typical and Atypical Encoding of Spontaneous Emotion in the Voice of Children

Autori: Fabien Ringeval, Erik Marchi, Charline Grossard, Jean Xavier, Mohamed Chetouani, David Cohen, Björn Schuller
Pubblicato in: Interspeech 2016, 2016, Pagina/e 1210-1214
Editore: ISCA
DOI: 10.21437/Interspeech.2016-766

Pairwise Decomposition with Deep Neural Networks and Multiscale Kernel Subspace Learning for Acoustic Scene Classification

Autori: E. Marchi, D. Tonelli, X. Xu, F. Ringeval, J. Deng, S. Squartini, and B. Schuller
Pubblicato in: Proceedings of the Detection and Classification of Acoustic Scenes and Events 2016 IEEE AASP Challenge Workshop, Numero DCASE 2016, 2016, Pagina/e 65-69, ISBN 978-952-15-3807-0
Editore: Tampere University of Technology

Is Deception Emotional? An Emotion-Driven Predictive Approach

Autori: Shahin Amiriparian, Jouni Pohjalainen, Erik Marchi, Sergey Pugachevskiy, Björn Schuller
Pubblicato in: Interspeech 2016, 2016, Pagina/e 2011-2015
Editore: ISCA
DOI: 10.21437/Interspeech.2016-565

Manual versus Automated: The Challenging Routine of Infant Vocalisation Segmentation in Home Videos to Study Neuro(mal)development

Autori: Florian B. Pokorny, Robert Peharz, Wolfgang Roth, Matthias Zöhrer, Franz Pernkopf, Peter B. Marschik, Björn Schuller
Pubblicato in: Interspeech 2016, 2016, Pagina/e 2997-3001
Editore: ISCA
DOI: 10.21437/Interspeech.2016-1341

Deep Learning of Graph Matching

Autori: Andrei Zanfir, Cristian Sminchisescu
Pubblicato in: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018, Pagina/e 2684-2693, ISBN 978-1-5386-6420-9
Editore: IEEE
DOI: 10.1109/cvpr.2018.00284

3D Human Sensing, Action and Emotion Recognition in Robot Assisted Therapy of Children with Autism

Autori: Elisabeta Marinoiu, Mihai Zanfir, Vlad Olaru, Cristian Sminchisescu
Pubblicato in: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018, Pagina/e 2158-2167, ISBN 978-1-5386-6420-9
Editore: IEEE
DOI: 10.1109/cvpr.2018.00230

Monocular 3D Pose and Shape Estimation of Multiple People in Natural Scenes: The Importance of Multiple Scene Constraints

Autori: Andrei Zanfir, Elisabeta Marinoiu, Cristian Sminchisescu
Pubblicato in: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018, Pagina/e 2148-2157, ISBN 978-1-5386-6420-9
Editore: IEEE
DOI: 10.1109/cvpr.2018.00229

Human Appearance Transfer

Autori: Mihai Zanfir, Alin-Ionut Popa, Andrei Zanfir, Cristian Sminchisescu
Pubblicato in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018), Numero CVPR 2018, 2018, Pagina/e 5391-5399
Editore: Computer Vision Foundation

End-to-End Audiovisual Fusion with LSTMs

Autori: Petridis, Stavros; Wang, Yujiang; Li, Zuwei; Pantic, Maja
Pubblicato in: Proceedings of The 14th International Conference on Auditory-Visual Speech Processing, Numero AVSP2017, 2017
Editore: KTH

GAGAN: Geometry-Aware Generative Adversarial Networks

Autori: Kossaifi, Jean; Tran, Linh; Panagakis, Yannis; Pantic, Maja
Pubblicato in: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Numero CVPR 2018, 2018, Pagina/e 878-887
Editore: Computer Vision Foundation

Variational Gaussian Process Auto-Encoder for Ordinal Prediction of Facial Action Units

Autori: Stefanos Eleftheriadis, Ognjen Rudovic, Marc Peter Deisenroth, Maja Pantic
Pubblicato in: Proceedings of the Asian Conference on Computer Vision, Numero ACCV'16, 2017, Pagina/e 154-170
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-54184-6_10

Social and Affective Robotics Tutorial

Autori: Maja Pantic, Vanessa Evers, Marc Deisenroth, Luis Merino, Bjoern Schuller
Pubblicato in: Proceedings of the 2016 ACM on Multimedia Conference - MM '16, 2016, Pagina/e 1477-1478, ISBN 9781-450336031
Editore: ACM Press
DOI: 10.1145/2964284.2986914

Gaussian Process Domain Experts for Model Adaptation in Facial Behavior Analysis

Autori: Stefanos Eleftheriadis, Ognjen Rudovic, Marc P. Deisenroth, Maja Pantic
Pubblicato in: 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2016, Pagina/e 1469-1477, ISBN 978-1-5090-1437-8
Editore: IEEE
DOI: 10.1109/cvprw.2016.184

Enhancing LSTM RNN-Based Speech Overlap Detection by Artificially Mixed Data

Autori: G. Hagerer, V. Pandit, F. Eyben, B. Schuller
Pubblicato in: Proceedings of the Audio Engineering Society Conference: 2017 AES International Conference on Semantic Audio, 2017, Pagina/e 8p
Editore: Audio Engineering Society

Perception of Paralinguistic Traits in Synthesized Voices

Autori: Alice Baird, Stina Hasse Jørgensen, Emilia Parada-Cabaleiro, Simone Hantke, Nicholas Cummins, Björn Schuller
Pubblicato in: Proceedings of the 12th International Audio Mostly Conference on Augmented and Participatory Sound and Music Experiences - AM '17, Numero 12, 2017, Pagina/e 1-5, ISBN 9781450353731
Editore: ACM Press
DOI: 10.1145/3123514.3123528

“Did you laugh enough today?” – Deep Neural Networks for Mobile and Wearable Laughter Trackers

Autori: G. Hagerer, N. Cummins, F. Eyben, B. Schuller
Pubblicato in: Proceedings of the 18th Annual Conference of the International Speech Communication Association, Numero INTERSPEECH 2017, 2017, Pagina/e 2044-2045
Editore: ISCA

The SEILS dataset: Symbolically Encoded Scores in Modern-Early Notation for Computational Musicology

Autori: Emilia Parada-Cabaleiro, Anton Batliner, Alice Baird, Björn W Schuller
Pubblicato in: Proceedings of the 18th International Society for Music Information Retrieval Conference, Numero ISMIR 2017, 2017, Pagina/e 575-581
Editore: ISMIR

Deep Structured Learning for Facial Action Unit Intensity Estimation

Autori: Robert Walecki, Ognjen Rudovic, Vladimir Pavlovic, Bjoern Schuller, Maja Pantic
Pubblicato in: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, Pagina/e 5709-5718, ISBN 978-1-5386-0457-1
Editore: IEEE
DOI: 10.1109/cvpr.2017.605

Design of a Robot-Based Emotion-Mirroring Game to Engage Autistic Children with Emotional Expressions.

Autori: Schadenberg B. R., Chevalier, P., Li, J. J., Ainger, E., Alcorn, A., Babovic, S., Davison, D., Charisi, V., Petrovic, S., Reidsma, D., Shen, J., Pellicano, E., Heylen, D. K. J., Evers, V.
Pubblicato in: In INSAR Conference, 2018
Editore: NSAR Conference
DOI: 10.13140/rg.2.2.34816.74247

Human Appearance Transfer

Autori: Mihai Zanfir, Alin-Ionut Popa, Andrei Zanfir, Cristian Sminchisescu
Pubblicato in: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018, Pagina/e 5391-5399, ISBN 978-1-5386-6420-9
Editore: IEEE
DOI: 10.1109/cvpr.2018.00565

Social Robots in Therapy - Focusing on Autonomy and Ethical Challenges

Autori: Pablo G. Esteban, Daniel Hernández García, Hee Rin Lee, Pauline Chevalier, Paul Baxter, Cindy Bethel
Pubblicato in: Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction - HRI '18, 2018, Pagina/e 391-392, ISBN 9781450356152
Editore: ACM Press
DOI: 10.1145/3173386.3173562

Recognition of Echolalic Autistic Child Vocalisations Utilising Convolutional Recurrent Neural Networks

Autori: Shahin Amiriparian, Alice Baird, Sahib Julka, Alyssa Alcorn, Sandra Ottl, Sunčica Petrović, Eloise Ainger, Nicholas Cummins, Björn Schuller
Pubblicato in: Interspeech 2018, 2018, Pagina/e 2334-2338
Editore: ISCA
DOI: 10.21437/interspeech.2018-1772

Robust Laughter Detection for Wearable Wellbeing Sensing

Autori: Gerhard Hagerer, Nicholas Cummins, Florian Eyben, Björn Schuller
Pubblicato in: Proceedings of the 2018 International Conference on Digital Health - DH '18, 2018, Pagina/e 156-157, ISBN 9781450364935
Editore: ACM Press
DOI: 10.1145/3194658.3194693

AVEC 2018 Workshop and Challenge - Bipolar Disorder and Cross-Cultural Affect Recognition

Autori: Fabien Ringeval, Adrien Michaud, Elvan Ciftçi, Hüseyin Güleç, Albert Ali Salah, Maja Pantic, Björn Schuller, Michel Valstar, Roddy Cowie, Heysem Kaya, Maximilian Schmitt, Shahin Amiriparian, Nicholas Cummins, Denis Lalanne
Pubblicato in: Proceedings of the 2018 on Audio/Visual Emotion Challenge and Workshop - AVEC'18, 2018, Pagina/e 3-13, ISBN 9781450359832
Editore: ACM Press
DOI: 10.1145/3266302.3266316

Multimodal Bag-of-Words for Cross Domains Sentiment Analysis

Autori: Nicholas Cummins, Shahin Amiriparian, Sandra Ottl, Maurice Gerczuk, Maximilian Schmitt, Bjorn Schuller
Pubblicato in: 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018, Pagina/e 4954-4958, ISBN 978-1-5386-4658-8
Editore: IEEE
DOI: 10.1109/icassp.2018.8462660

Flipper 2.0 - A Pragmatic Dialogue Engine for Embodied Conversational Agents

Autori: Jelte van Waterschoot, Merijn Bruijnes, Jan Flokstra, Dennis Reidsma, Daniel Davison, Mariët Theune, Dirk Heylen
Pubblicato in: Proceedings of the 18th International Conference on Intelligent Virtual Agents - IVA '18, 2018, Pagina/e 43-50, ISBN 9781450360135
Editore: ACM Press
DOI: 10.1145/3267851.3267882

Are Some Emotions Harder Than Others? a Study of Autistic Children Recognising Human and Robot Facial Emotion Expressions in the UK and Serbia

Autori: Girard. D., Alcorn, A. M., Ainger, E., Tavassoli, T. T., Babovic Dimitrijevic,S., Skendzic, S., Petrovic, S., Petrovic, V., Pellicano, E. and DE-ENIGMA Project Consortium.
Pubblicato in: International Society for Autism Research (INSAR) conference, 2018
Editore: International Society for Autism Research (INSAR) conference

Autism Data Goes Big: A Publicly-Accessible Multi-Modal Database of Child Interactions for Behavioural and Machine Learning Research

Autori: The DE-ENIGMA Project Consortium
Pubblicato in: International Society for Autism Research (INSAR), 2018
Editore: the International Society for Autism Research (INSAR) conference

Educator Practices and Perspectives on Social and Emotional Skills Teaching in UK Autism Education

Autori: Mantinioti. S, Ainger., E, Alcorn, A. M. & Pellicano. E.
Pubblicato in: International Society for Autism Research (INSAR), 2018
Editore: International Society for Autism Research (INSAR)

Observing Interactions between Teaching Staff and Autistic Children: Who Communicates, How Often, and Why? a Cross-Cultural Comparison between UK and Serbia

Autori: Ainger, E., Shek, Y., Alcorn, A. M. & Pellicano, E.
Pubblicato in: International Society for Autism Research (INSAR), 2018
Editore: International Society for Autism Research (INSAR)

Autism Characteristics, Adaptive Skills, and Performance in an Emotion-Recognition Teaching Programme with a Humanoid Robot

Autori: Alcorn, A. M., Girard, D., Ainger, E., Tavassoli, T. T., Babovic Dimitrijevic,S., Skendzic, S., Petrovic, S., Petrovic, V., Pellicano, E. and DE-ENIGMA Project Consortium.
Pubblicato in: International Society for Autism Research (INSAR), 2018
Editore: International Society for Autism Research (INSAR)

Design of a Robot-Based Emotion-Mirroring Game to Engage Autistic Children with Emotional Expressions

Autori: B.R. Schadenberg., P. Chevalier., J.J. Li., E. Ainger., A.M. Alcorn., S. Babović Dimitrijevic., D. Davison., V. Charisi., S. Petrović., D. Reidsma., J. Shen., E. Pellicano., D.K.J. Heylen., V. Evers
Pubblicato in: International Society for Autism Research (INSAR), 2018
Editore: International Society for Autism Research (INSAR)

A Framework for Joint Estimation and Guided Annotation of Facial Action Unit Intensity

Autori: Robert Walecki, Ognjen Rudovic, Maja Pantic, Vladimir Pavlovic, Jeffrey F. Cohn
Pubblicato in: 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2016, Pagina/e 1460-1468, ISBN 978-1-5090-1437-8
Editore: IEEE
DOI: 10.1109/cvprw.2016.183

Variational gaussian process auto-encoder for ordinal prediction of facial action units

Autori: Eleftheriadis S., Rudovic O., Deisenroth M.P., Pantic M.
Pubblicato in: Proceedings of the Asian Conference on Computer Vision 2016, 2016
Editore: Cornell University Library

Copula Ordinal Regression for Joint Estimation of Facial Action Unit Intensity

Autori: Robert Walecki, Ognjen Rudovic, Vladimir Pavlovic, Maja Pantic
Pubblicato in: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, Pagina/e 4902-4910, ISBN 978-1-4673-8851-1
Editore: IEEE
DOI: 10.1109/cvpr.2016.530

Usability of a Robot’s Realistic Facial Expressions and Peripherals in Autistic Children’s Therapy

Autori: Jamy Li, Daniel Davison, Bob Schadenberg, Alyssa Alcorn, Alria Williams, Suncica Petrovic, Snezana Babovic Dimitrijevic, Jie Shen, Liz Pellicano and Vanessa Evers
Pubblicato in: “Social Robots in Therapy and Care” workshop of the 14th Annual ACM/IEEE International Conference on Human Robot Interaction (HRI2019) Conference, 2019
Editore: 14th Annual ACM/IEEE International Conference on Human Robot Interaction (HRI2019)

Growing-Up Hand in Hand with Robots - Designing and Evaluating Child-Robot Interaction from a Developmental Perspective

Autori: Cristina Zaga, Vicky Charisi, Bob Schadenberg, Dennis Reidsma, Mark Neerincx, Tony Prescott, Michael Zillich, Paul Verschure, Vanessa Evers
Pubblicato in: Proceedings of the Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction - HRI '17, Numero 2017, 2017, Pagina/e 429-430, ISBN 9781-450348850
Editore: ACM Press
DOI: 10.1145/3029798.3029804

Summary for AVEC 2017 - Real-life Depression and Affect Challenge and Workshop

Autori: Fabien Ringeval, Björn Schuller, Michel Valstar, Jonathan Gratch, Roddy Cowie, Maja Pantic
Pubblicato in: Proceedings of the 2017 ACM on Multimedia Conference - MM '17, 2017, Pagina/e 1963-1964, ISBN 9781450349062
Editore: ACM Press
DOI: 10.1145/3123266.3132049

AVEC 2017 - Real-life Depression, and Affect Recognition Workshop and Challenge

Autori: Fabien Ringeval, Maja Pantic, Björn Schuller, Michel Valstar, Jonathan Gratch, Roddy Cowie, Stefan Scherer, Sharon Mozgai, Nicholas Cummins, Maximilian Schmitt
Pubblicato in: Proceedings of the 7th Annual Workshop on Audio/Visual Emotion Challenge - AVEC '17, 2017, Pagina/e 3-9, ISBN 9781-450355025
Editore: ACM Press
DOI: 10.1145/3133944.3133953

Summary for AVEC 2018 - Bipolar Disorder and Cross-Cultural Affect Recognition

Autori: Fabien Ringeval, Björn Schuller, Michel Valstar, Roddy Cowie, Maja Pantic
Pubblicato in: 2018 ACM Multimedia Conference on Multimedia Conference - MM '18, 2018, Pagina/e 2111-2112, ISBN 9781-450356657
Editore: ACM Press
DOI: 10.1145/3240508.3243719

Deep Multitask Architecture for Integrated 2D and 3D Human Sensing

Autori: Alin-Ionut Popa, Mihai Zanfir, Cristian Sminchisescu
Pubblicato in: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, Pagina/e 4714-4723, ISBN 978-1-5386-0457-1
Editore: IEEE
DOI: 10.1109/cvpr.2017.501

Variational Gaussian Process Auto-Encoder for Ordinal Prediction of Facial Action Units

Autori: Eleftheriadis, Stefanos; Rudovic, Ognjen; Deisenroth, Marc Peter; Pantic, Maja; Lai, Shang-Hong; Lepetit, Vincent; Nishino, Ko; Sato, Yoichi
Pubblicato in: Computer Vision – ACCV 2016: 13th Asian Conference on Computer Vision, Taipei, Taiwan, November 20-24, 2016, Revised Selected Papers, 154 - 170, Numero 12, 2017
Editore: 3th Asian Conference on Computer Vision

AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition

Autori: Ringeval, Fabien; Schuller, Björn; Valstar, Michel; Cummins, NIcholas; Cowie, Roddy; Tavabi, Leili; Schmitt, Maximilian; Alisamir, Sina; Amiriparian, Shahin; Messner, Eva-Maria; Song, Siyang; Liu, Shuo; Zhao, Ziping; Mallol-Ragolta, Adria; Ren, Zhao; Soleymani, Mohammad; Pantic, Maja
Pubblicato in: Numero 11, 2019
Editore: Proceedings of the 9th International on Audio/Visual Emotion Challenge and Workshop

CultureNet: A Deep Learning Approach for Engagement Intensity Estimation from Face Images of Children with Autism

Autori: Ognjen Rudovic, Yuria Utsumi, Jaeryoung Lee, Javier Hernandez, Eduardo Castello Ferrer, Bjorn Schuller, Rosalind W. Picard
Pubblicato in: 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018, Pagina/e 339-346, ISBN 978-1-5386-8094-0
Editore: IEEE
DOI: 10.1109/iros.2018.8594177

GAGAN: Geometry-Aware Generative Adversarial Networks

Autori: Jean Kossaifi, Linh Tran, Yannis Panagakis, Maja Pantic
Pubblicato in: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018, Pagina/e 878-887, ISBN 978-1-5386-6420-9
Editore: IEEE
DOI: 10.1109/cvpr.2018.00098

Helping Educators Monitor Autistic Children ’ s Progress Across Sessions : A Needfinding Study

Autori: Schadenberg, B. R., Li, J. J., Petrovic, S., Reidsma, D., Heylen, D. K. J., & Evers, V.
Pubblicato in: In Companion ofthe 2020 ACM/IEEE International Conference on Human-Robot Interaction (HRI ’20 Companion), 2020
Editore: Cambridge

Stimulation of Psychological Listener Experiences by Semi-Automatically Composed Electroacoustic Environments

Autori: E. Parada-Cabaleiro, A. Baird, N. Cummins, B.W. Schuller
Pubblicato in: Proceedings of the 18th IEEE International Conference on Multimedia and Expo, Numero ICME 2017, 2017, Pagina/e 1051-1056
Editore: IEEE

Summary for AVEC 2016 - Depression, Mood, and Emotion Recognition Workshop and Challenge

Autori: Michel Valstar, Jonathan Gratch, Björn Schuller, Fabien Ringeval, Roddy Cowie, Maja Pantic
Pubblicato in: Proceedings of the 2016 ACM on Multimedia Conference - MM '16, 2016, Pagina/e 1483-1484, ISBN 9781-450336031
Editore: ACM Press
DOI: 10.1145/2964284.2980532

AVEC 2016 - Depression, Mood, and Emotion Recognition Workshop and Challenge

Autori: Michel Valstar, Maja Pantic, Jonathan Gratch, Björn Schuller, Fabien Ringeval, Dennis Lalanne, Mercedes Torres Torres, Stefan Scherer, Giota Stratou, Roddy Cowie
Pubblicato in: Proceedings of the 6th International Workshop on Audio/Visual Emotion Challenge - AVEC '16, 2016, Pagina/e 3-10, ISBN 9781-450345163
Editore: ACM Press
DOI: 10.1145/2988257.2988258

Audio-visual object localization and separation using low-rank and sparsity

Autori: Jie Pu, Yannis Panagakis, Stavros Petridis, Maja Pantic
Pubblicato in: 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017, Pagina/e 2901-2905, ISBN 978-1-5090-4117-6
Editore: IEEE
DOI: 10.1109/icassp.2017.7952687

Deep Multitask Architecture for Integrated 2D and 3D Human Sensing

Autori: Alin-Ionut Popa, Mihai Zanfir, Cristian Sminchisescu
Pubblicato in: Proceedings of IEEE Int’l Conf. on Computer Vision and Pattern Recognition, Numero CVPR 2017, 2017
Editore: Cornell University Library

End-to-end visual speech recognition with LSTMS

Autori: Stavros Petridis, Zuwei Li, Maja Pantic
Pubblicato in: 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017, Pagina/e 2592-2596, ISBN 978-1-5090-4117-6
Editore: IEEE
DOI: 10.1109/ICASSP.2017.7952625

Large-Scale Data-Dependent Kernel Approximation

Autori: A. Popa, M. Zanfir, C. Sminchisescu
Pubblicato in: Proceedings of the 20th International Conference on Artificial In- telligence and Statistics, Numero volume 54, 2017
Editore: JMLR

Deep Structured Learning for Facial Action Unit Intensity Estimation

Autori: R. Walecki, O. Rudovic, V. Pavlovic, B. Schuller, M. Pantic
Pubblicato in: Proceedings of IEEE Int’l Conf. on Computer Vision and Pattern Recognition, Numero CVPR 2017, 2017
Editore: Cornell University Library

Support by Participatory Sense-Making in Robot Therapy for Children with Autism

Autori: Judith Weda, Bob Schadenberg, Jelle van Dijk
Pubblicato in: Proceedings of the 13th Student Interaction Design Research Conference, 2017
Editore: TU Delft

Things that Make Robots Go HMMM : Heterogeneous Multilevel Multimodal Mixing to Realise Fluent, Multiparty, Human-Robot Interaction

Autori: Daniel Davison, Binnur Gorer, Jan Kolkmeier, Jeroen Linssen, Bob Schadenberg, Bob van de Vijver, Nick Campbell, Edwin Dertien and Dennis Reidsma
Pubblicato in: Proceedings of eNTERFACE’16 The 12th Summer Workshop on Multimodal Interfaces, Numero CTIT Workshop Proceedings WP 17-02, 2017, Pagina/e 6-20
Editore: CTIT

Multi-instance Dynamic Ordinal Random Fields for Weakly-Supervised Pain Intensity Estimation

Autori: Adria Ruiz, Ognjen Rudovic, Xavier Binefa, Maja Pantic
Pubblicato in: Proceedings of the Asian Conference on Computer Vision 2016, Numero ACCV 2016, 2017, Pagina/e 171-186, ISBN 978-3-319-54184-6
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-54184-6_11

Automatic Classification of Autistic Child Vocalisations: A Novel Database and Results

Autori: Alice Baird, Shahin Amiriparian, Nicholas Cummins, Alyssa M. Alcorn, Anton Batliner, Sergey Pugachevskiy, Michael Freitag, Maurice Gerczuk, Björn Schuller
Pubblicato in: Interspeech 2017, Numero Interspeech 2017, 2017, Pagina/e 849-853
Editore: ISCA
DOI: 10.21437/Interspeech.2017-730

The Perception of Emotions in Noisified Nonsense Speech

Autori: Emilia Parada-Cabaleiro, Alice Baird, Anton Batliner, Nicholas Cummins, Simone Hantke, Björn Schuller
Pubblicato in: Interspeech 2017, Numero Interspeech 2017, 2017, Pagina/e 3246-3250
Editore: ISCA
DOI: 10.21437/Interspeech.2017-104

Introducing the Weighted Trustability Evaluator for Crowdsourcing Exemplified by Speaker Likability Classification

Autori: S. Hantke, E. Marchi, and B. Schuller
Pubblicato in: Proceedings of the 10th Language Resources and Evaluation Conference, Numero LREC 2016, 2016, Pagina/e 2156-2161
Editore: ELRA

Towards Cross-lingual Automatic Diagnosis of Autism Spectrum Condition in Children’s Voices

Autori: M. Schmitt, E. Marchi, F. Ringeval, and B. Schuller
Pubblicato in: Proceedings of the 14th ITG Conference on Speech Communication, Numero volume 267 of ITG Fachbericht, 2016, Pagina/e 264-268
Editore: ITG/VGE

Speech-based Diagnosis of Autism Spectrum Condition by Generative Adversarial Network Representations

Autori: Jun Deng, Nicholas Cummins, Maximilian Schmitt, Kun Qian, Fabien Ringeval, Björn Schuller
Pubblicato in: Proceedings of the 2017 International Conference on Digital Health - DH '17, Numero DH '17, 2017, Pagina/e 53-57, ISBN 9781450352499
Editore: ACM Press
DOI: 10.1145/3079452.3079492

Snore Sound Classification Using Image-Based Deep Spectrum Features

Autori: Shahin Amiriparian, Maurice Gerczuk, Sandra Ottl, Nicholas Cummins, Michael Freitag, Sergey Pugachevskiy, Alice Baird, Björn Schuller
Pubblicato in: Interspeech 2017, Numero Interspeech 2017, 2017, Pagina/e 3512-3516
Editore: ISCA
DOI: 10.21437/Interspeech.2017-434

AVEC 2017 – Real-life Depression, and Affect Recognition Workshop and Challenge

Autori: F. Ringeval, B. Schuller, M. Valstar, J. Gratch, R. Cowie, S. Scherer, S. Mozgai, N. Cummins, M. Schmitt, and M. Pantic
Pubblicato in: Proceedings of the 7th Audio/Visual Emotion Challenge and Workshop, Numero 7, 2017, Pagina/e 6
Editore: ACM

An ‘End-to-Evolution’ Hybrid Approach for Snore Sound Classification

Autori: Michael Freitag, Shahin Amiriparian, Nicholas Cummins, Maurice Gerczuk, Björn Schuller
Pubblicato in: Interspeech 2017, Numero Interspeech 2017, 2017, Pagina/e 3507-3511
Editore: ISCA
DOI: 10.21437/Interspeech.2017-173

The University of Passau Open Emotion Recognition System for the Multimodal Emotion Challenge

Autori: Jun Deng, Nicholas Cummins, Jing Han, Xinzhou Xu, Zhao Ren, Vedhas Pandit, Zixing Zhang, Björn Schuller
Pubblicato in: Communications in Computer and Information Science, Numero CCPR 2016 vol 663, 2016, Pagina/e 652-666, ISBN 978-981-10-3005-5
Editore: Springer Singapore
DOI: 10.1007/978-981-10-3005-5_54

Deep Recurrent Neural Network-based Autoencoders for Acoustic Novelty Detection

Autori: Erik Marchi, Fabio Vesperini, Stefano Squartini, and Björn W. Schuller
Pubblicato in: Computational Intelligence and Neuroscience, 2016, ISSN 1687-5273
Editore: Hindawi Publishing Corporation
DOI: 10.1155/8483

Exploitation of Phase-Based Features for Whispered Speech Emotion Recognition

Autori: Jun Deng, Xinzhou Xu, Zixing Zhang, Sascha Fruhholz, Bjorn Schuller
Pubblicato in: IEEE Access, Numero 4, 2016, Pagina/e 4299-4309, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/ACCESS.2016.2591442

Personalized machine learning for robot perception of affect and engagement in autism therapy

Autori: Ognjen Rudovic, Jaeryoung Lee, Miles Dai, Björn Schuller, Rosalind W. Picard
Pubblicato in: Science Robotics, Numero 3/19, 2018, Pagina/e eaao6760, ISSN 2470-9476
Editore: AAAS
DOI: 10.1126/scirobotics.aao6760

Measuring Engagement in Robot-Assisted Autism Therapy: A Cross-Cultural Study

Autori: Ognjen Rudovic, Jaeryoung Lee, Lea Mascarell-Maricic, Björn W. Schuller, Rosalind W. Picard
Pubblicato in: Frontiers in Robotics and AI, Numero 4, 2017, ISSN 2296-9144
Editore: Frontiersin
DOI: 10.3389/FROBT.2017.00036

Calibrated Prediction Intervals for Neural Network Regressors

Autori: Gil Keren, Nicholas Cummins, Bjorn Schuller
Pubblicato in: IEEE Access, Numero vol. 6, 2018, Pagina/e 1-1, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/ACCESS.2018.2871713

Affect bursts to constrain the meaning of the facial expressions of the humanoid robot Zeno.

Autori: Schadenberg, B. R., Heylen, D. K. J. & Evers, V
Pubblicato in: Proceedings of the 1st Workshop on Social Interaction and Multimodal Expression for Socially Intelligent Robots (RO-MAN 2017), 2018, ISSN 1613-0073
Editore: CEUR Workshop Proceedings

The ASC-Inclusion Perceptual Serious Gaming Platform for Autistic Children

Autori: Erik Marchi, Bjorn Schuller, Alice Baird, Simon Baron-Cohen, Amandine Lassalle, Helen O Reilly, Delia Pigat, Peter Robinson, Ian Davies, Tadas Baltrusaitis, Andra Adams, Marwa Mahmoud, Ofer Golan, Shimrit Fridenson-Hayo, Shahar Tal, Shai Newman, Noga Meir-Goren, Antonio Camurri, Stefano Piana, Sven Bolte, Metin Sezgin, Nese Alyuz, Agnieszka Rynkiewicz, Aurelie Baranger
Pubblicato in: IEEE Transactions on Games, 2018, Pagina/e 1-12, ISSN 2475-1502
Editore: IEEE
DOI: 10.1109/tg.2018.2864640

Teaching Machines on Snoring: A Benchmark on Computer Audition for Snore Sound Excitation Localisation

Autori: K. Qian, C. Janott, Z. Zhang, J. Deng, A. Baird, C. Heiser, W. Hohenhorst, M. Herzog, W. Hemmer, and B. Schuller
Pubblicato in: Archives of Acoustics, 2018, ISSN 0137-5075
Editore: Polish Scientific Publishers PWN
DOI: 10.24425/123918

Deep Scalogram Representations for Acoustic Scene Classification

Autori: Zhao Ren, Kun Qian, Yebin Wang, Zixing Zhang, Vedhas Pandit, Alice Baird, Bjorn Schuller
Pubblicato in: IEEE/CAA Journal of Automatica Sinica, Numero 5/3, 2018, Pagina/e 662-669, ISSN 2329-9274
Editore: IEEE Advancing Technology for Humanity
DOI: 10.1109/jas.2018.7511066

Speech endpoint detection based on critical band and energy entropy

Autori: Ting ZHANG, Ling HE, Hua HUANG, Xiaoheng LIU
Pubblicato in: Journal of Computer Applications, Numero 33/1, 2013, Pagina/e 175-178, ISSN 1001-9081
Editore: Journal of computer applications
DOI: 10.3724/sp.j.1087.2013.00175

Deep Recurrent Neural Network-Based Autoencoders for Acoustic Novelty Detection

Autori: Erik Marchi, Fabio Vesperini, Stefano Squartini, Björn Schuller
Pubblicato in: Computational Intelligence and Neuroscience, Numero 2017, 2017, Pagina/e 1-14, ISSN 1687-5265
Editore: Hindawi Publishing Corporation
DOI: 10.1155/2017/4694860

Educators' Views on Using Humanoid Robots With Autistic Learners in Special Education Settings in England

Autori: Alyssa M. Alcorn, Eloise Ainger, Vicky Charisi, Stefania Mantinioti, Sunčica Petrović, Bob R. Schadenberg, Teresa Tavassoli, Elizabeth Pellicano
Pubblicato in: Frontiers in Robotics and AI, Numero 6, 2019, ISSN 2296-9144
Editore: Frontiers in Robotic and AI
DOI: 10.3389/frobt.2019.00107

A Two-Dimensional Framework of Multiple Kernel Subspace Learning for Recognizing Emotion in Speech

Autori: Xinzhou Xu, Jun Deng, Nicholas Cummins, Zixing Zhang, Chen Wu, Li Zhao, Bjorn Schuller
Pubblicato in: IEEE/ACM Transactions on Audio, Speech, and Language Processing, Numero 25/7, 2017, Pagina/e 1436-1449, ISSN 2329-9290
Editore: IEEE Advancing Technology for Humanity
DOI: 10.1109/TASLP.2017.2694704

The Effect of Narrow-Band Transmission on Recognition of Paralinguistic Information From Human Vocalizations

Autori: Sascha Fruhholz, Erik Marchi, Bjorn Schuller
Pubblicato in: IEEE Access, Numero 4, 2016, Pagina/e 6059-6072, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/ACCESS.2016.2604038

Advanced Data Exploitation in Speech Analysis: An overview

Autori: Zixing Zhang, Nicholas Cummins, Bjoern Schuller
Pubblicato in: IEEE Signal Processing Magazine, Numero 34/4, 2017, Pagina/e 107-129, ISSN 1053-5888
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/msp.2017.2699358

CultureNet: A Deep Learning Approach for Engagement Intensity Estimation from Face Images of Children with Autism

Autori: Ognjen Rudovic Affiliation: Massachusetts Institute of Technology, USA; Yuria Utsumi Affiliation: Massachusetts Institute of Technology, USA; Jaeryoung Lee Affiliation: Chubu University, Japan; Javier Hernandez Affiliation: Massachusetts Institute of Technology, USA; Eduardo Castello Ferrer Affiliation: Massachusetts Institute of Technology, USA; Bjorn Schuller Affiliation: Imperial College London
Pubblicato in: 2018
Editore: 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS); 339-346; IEEE

GAGAN: Geometry-Aware Generative Adversarial Networks

Autori: Jean Kossaifi, Linh Tran, Yannis Panagakis, Maja Pantic
Pubblicato in: 2018, ISBN 978-1-5386-6420-9
Editore: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition; 878-887; IEEE

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