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Facial Emotion Analysis in Down's syndrome children in classroom

Authors:

Pablo Torres-Carrión,

Carina González-González,

Alberto Mora CarreñoAuthors Info & Claims

Interacción '15: Proceedings of the XVI International Conference on Human Computer Interaction

Article No.: 15, Pages 1 - 2

https://doi.org/10.1145/2829875.2829882

Published: 07 September 2015 Publication History

Abstract

Sentiment analysis has allowed a degree of machines "intelligent" interaction, although its development is still at an early stage. This document presents the progress of the research project in this line, with a particular focus on children with Down Syndrome (DS). Their singularities are considered through personalized learning resources, and interaction with Kinect HCI, and the Tango:H platform. In this first moment we made an initial interaction, resulting in video images of the interaction, and a subjective assessment of emotions through one extension of EMODIANA. The next step will be the comparison of the patterns of facial recognition applied in people without SD, to identify whether there are significant differences.

References

[1]

Amadó, A., Benejam, B., Mezuca, J., Serrat, E., and Vallès-Majoral, E. Socio-cognitive abilities in children with Down's syndrome: results of a preliminary study. International Medical Review on Down Syndrome 16, 3 (2012), 34--39.

[2]

Angulo A. Luna, M., M.G. and Prieto, I.Manual de Atención al Alumnado con Necesidades Específicas de Apoyo Educativo Derivadas de Sindrome Down. Junta de Andalucía, Sevilla, 2010.

[3]

Carvajal, F., Fernández-Alcaraz, C., Rueda, M., and Sarrión, L. Processing of facial expressions of emotions by adults with Down syndrome and moderate intellectual disability. Research in developmental disabilities 33, 3 (2012), 783--790.

[4]

Cerezo, E. and Hupont, I. Emotional Facial Expression Classification for Multimodal User Interfaces. In Articulated Motion and Deformable Objects. Springer Berlin Heidelberg, Berlin, Heidelberg, 2006, 405--413.

Digital Library

[5]

Dibeklioğlu, H., Salah, A.A., and Gevers, T. Recognition of Genuine Smiles. IEEE Transactions on Multimedia 17, 3 (2015), 279--294.

[6]

Gardner, H.Estructuras de la mente: La teoría de las inteligencias múltiples. Fondo de Cultura Económica, México, 2001.

[7]

Goleman, D.Inteligencia emocional. Kairo's, Barcelona, 2011.

[8]

González-González, C.S., Cairós-González, M., and Navarro-Adelantado, V. EMODIANA: Un instrumento para la evaluación subjetiva de emociones en niños y niñas. Actas del XIV Congreso Internacional de Interacción PersonaOrdenador, (2013).

[9]

Hippolyte, L., Barisnikov, K., Van der Linden, M., and Detraux, J.-J. From facial emotional recognition abilities to emotional attribution: A study in Down syndrome. Research in developmental disabilities 30, 5 (2009), 1007--1022.

[10]

Hodapp, R.M. and Freeman, S.F.N. Advances in educational strategies for children with Down syndrome. CURRENT OPINION IN PSYCHIATRY 16, 5 (2003), 511--516.

[11]

Picard, R.W., Papert, S., Bender, W., et al. Affective learning - a manifesto. BT Technology Journal 22, 4 (2004), 253--268.

Digital Library

[12]

Tapia, S.A.A., Gomez, A.H.F., Corbacho, J.B., et al. A contribution to the method of automatic identification of human emotions by using semantic structures. 2014 International Conference on Interactive Collaborative Learning (ICL), IEEE (2014), 60--70.

[13]

Torres-Carrion, P., González-González, C.S., and Mora Carreño, A. Methodology of emotional evaluation in education and rehabilitation activities for people with Down syndrome. XV International Conference on Human Computer Interaction, (2014), 12--15.

Digital Library

[14]

Troncoso, M.V. and Flórez, J. Comprensión en la lectura de las personas con síndrome de Down. Revista Síndrome de Down: Revista española de investigación e información sobre el Síndrome de Down, 2011, 50--59.

[15]

De Zubiría, M.Inteligencia Emocional. Fundación Alberto Meraní para el Desarrollo de la Inteligencia, Bogotá, 1999.

Cited By

González-González CHerrera-González EMoreno-Ruiz LReyes-Alonso NHernández-Morales SGuzmán-Franco MInfante-Moro A(2019)Computational Thinking and Down Syndrome: An Exploratory Study Using the KIBO RobotInformatics10.3390/informatics60200256:2(25)Online publication date: 20-Jun-2019
https://doi.org/10.3390/informatics6020025
Sharma KPapavlasopoulou SGiannakos MFails J(2019)Joint Emotional State of Children and Perceived Collaborative Experience in Coding ActivitiesProceedings of the 18th ACM International Conference on Interaction Design and Children10.1145/3311927.3323145(133-145)Online publication date: 12-Jun-2019
https://dl.acm.org/doi/10.1145/3311927.3323145
Han ZWu JHuang CHuang QZhao M(2019)A review on sentiment discovery and analysis of educational big‐dataWIREs Data Mining and Knowledge Discovery10.1002/widm.132810:1Online publication date: 11-Jul-2019
https://doi.org/10.1002/widm.1328
Show More Cited By

Index Terms

Facial Emotion Analysis in Down's syndrome children in classroom
1. Social and professional topics
  1. Professional topics
    1. Computing profession
      1. Assistive technologies
  2. User characteristics
    1. People with disabilities

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Information & Contributors

Information

Published In

cover image ACM Other conferences

Interacción '15: Proceedings of the XVI International Conference on Human Computer Interaction

September 2015

287 pages

ISBN:9781450334631

DOI:10.1145/2829875

Conference Chair:
Pere Ponsa,
Program Chair:
Daniel Guasch

Copyright © 2015 Owner/Author.

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

In-Cooperation

Universitat Politècnica de Catalunya: Universitat Politècnica de Catalunya

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 September 2015

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Author Tags

Qualifiers

Extended-abstract
Research
Refereed limited

Funding Sources

Universidad Técnica Particular de Loja
Universidad de la Laguna
Fundación Carolina

Conference

Interacción '15

Interacción '15: XVI International Conference on Human Computer Interaction

September 7 - 9, 2015

Vilanova i la Geltru, Spain

Acceptance Rates

Overall Acceptance Rate 109 of 163 submissions, 67%

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Cited By

González-González CHerrera-González EMoreno-Ruiz LReyes-Alonso NHernández-Morales SGuzmán-Franco MInfante-Moro A(2019)Computational Thinking and Down Syndrome: An Exploratory Study Using the KIBO RobotInformatics10.3390/informatics60200256:2(25)Online publication date: 20-Jun-2019
https://doi.org/10.3390/informatics6020025
Sharma KPapavlasopoulou SGiannakos MFails J(2019)Joint Emotional State of Children and Perceived Collaborative Experience in Coding ActivitiesProceedings of the 18th ACM International Conference on Interaction Design and Children10.1145/3311927.3323145(133-145)Online publication date: 12-Jun-2019
https://dl.acm.org/doi/10.1145/3311927.3323145
Han ZWu JHuang CHuang QZhao M(2019)A review on sentiment discovery and analysis of educational big‐dataWIREs Data Mining and Knowledge Discovery10.1002/widm.132810:1Online publication date: 11-Jul-2019
https://doi.org/10.1002/widm.1328
T S AGuddeti R(2018)Unobtrusive Students' Engagement Analysis in Computer Science Laboratory Using Deep Learning Techniques2018 IEEE 18th International Conference on Advanced Learning Technologies (ICALT)10.1109/ICALT.2018.00110(436-440)Online publication date: Jul-2018
https://doi.org/10.1109/ICALT.2018.00110
Malandrino OSessa M(2018)Semantic Web Technology as a Tool for Integrating Training and Job Market Supply Chains2018 IEEE 18th International Conference on Advanced Learning Technologies (ICALT)10.1109/ICALT.2018.00088(441-443)Online publication date: Jul-2018
https://doi.org/10.1109/ICALT.2018.00088
Macias ACastro L(2017)Mastery Motivation of Children with Down's syndrome in Naturalistic EnvironmentsProceedings of the 8th Latin American Conference on Human-Computer Interaction10.1145/3151470.3156649(1-4)Online publication date: 8-Nov-2017
https://dl.acm.org/doi/10.1145/3151470.3156649
Tapia STomás RRíos MGómez HQuinde CR. VRamirez J(2017)Identification of the Semantic Disconnection in Alzheimer’s Patients Conducted by Bayesian AlgorithmsBiomedical Applications Based on Natural and Artificial Computing10.1007/978-3-319-59773-7_6(49-58)Online publication date: 27-May-2017
https://doi.org/10.1007/978-3-319-59773-7_6
Torres-Carrión PGonzález-González CInfante-Moro A(2017)Usability Study of Didactical Resources to Children with Down SyndromeHCI for Children with Disabilities10.1007/978-3-319-55666-6_7(127-148)Online publication date: 5-May-2017
https://doi.org/10.1007/978-3-319-55666-6_7

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