skip to main content
10.1145/2909132.2909283acmconferencesArticle/Chapter ViewAbstractPublication PagesaviConference Proceedingsconference-collections
short-paper

Monitoring and Adaptation in Smart Spaces for Disabled Children

Authors Info & Claims
Published:07 June 2016Publication History

ABSTRACT

Our research explores new forms of technology-enhanced intervention for children with Intellectual Disability (ID) that exploits our Magic K-Room, an interactive multisensory smart space designed in cooperation with therapists and special educators at a local rehabilitation center. The Magic K-Room integrates smart objects, smart lights, and (immersive) multimedia contents. It also supports monitoring of brain-signals and automatic ambient adaptation, to dynamically personalize the smart space to the specific needs of each child. These features are enabled by a wearable device that automatically detects and interprets EEG signals.

References

  1. Agosta, G., Borghese, L., Brandolese, C., Clasadonte, F., Fornaciari, W., Garzotto, F., Gelsomini, M., Grotto, M., Fra, C., Noferi, D., Valla, M., 2015. Playful Supervised Smart Spaces (P3S) -- A Framework for Designing, Implementing and Deploying Multisensory Play Experiences for Children with Special Needs. In 2015 Euromicro Conference on Digital System Design (DSD), 158--164. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Cmiel, V., Janousek, O., Kolarova, J., 2011. EEG biofeedback, Isabel, 54.Google ScholarGoogle Scholar
  3. Garzotto, F., Gelsomini, M. 2016. P3S Innovation Journey, EIT Innovators Award.Google ScholarGoogle Scholar
  4. Mandryk, R.L., Kalyn, M., Dang, Y., Doucette, A., Taylor, B., Dielschneider, S., 2012. Turning Off-The-Shelf Games into Biofeedback Games, Assets, 199--200. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Nicolas-Alonso, L. F., Gomez-Gil, J. 2012. Brain Computer Interfaces, a Review, Sensors 12, 1211--1279.Google ScholarGoogle ScholarCross RefCross Ref
  6. Zander, T. O., Kothe, C., Welke, S., and Rotting, M. Utilizing secondary input from passive brain-computer interfaces for enhancing human-machine interaction. In Foundations of Augmented Cognition, Neuroergonomics and Operational Neuroscience, Springer Berlin Heidelberg (2009), 759--771. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Laurent G., Anatole L. An overview of research on "passive" brain-computer interfaces for implicit human-computer interaction. International Conference on Applied Bionics and Biomechanics ICABB 2010 - Workshop W1 "Brain-Computer Interfacing and Virtual Reality", Oct 2010, Venise, Italy. 2010.Google ScholarGoogle Scholar
  8. Daniel Afergan, Evan M. Peck, Erin T. Solovey, Andrew J., Samuel W. H., Eli T. B., Remco C., and Robert J.K. J. 2014. Dynamic difficulty using brain metrics of workload. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '14). ACM, New York, NY, USA, 3797--3806. DOI=http://dx.doi.org/10.1145/2556288.2557230. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Chamberlain, A., Kanjo E., Al-Husain L. 2015. "Emotions in Context: Examining Pervasive Affective Sensing, Systems, Applications and Analyses." in Personal and Ubiquitous Computing Journal, Springer Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Eiman K., Luluah A., Chamberlain A. 2013. "Sense of Space: Mapping Physiological Emotion Response in Urban Space", SenCity 2013, Ubicomp 2013, Zurich, Switzerland - (ACM Library) Google ScholarGoogle ScholarDigital LibraryDigital Library

Recommendations

Comments

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Sign in
  • Published in

    cover image ACM Conferences
    AVI '16: Proceedings of the International Working Conference on Advanced Visual Interfaces
    June 2016
    400 pages
    ISBN:9781450341318
    DOI:10.1145/2909132

    Copyright © 2016 ACM

    Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 7 June 2016

    Permissions

    Request permissions about this article.

    Request Permissions

    Check for updates

    Qualifiers

    • short-paper
    • Research
    • Refereed limited

    Acceptance Rates

    AVI '16 Paper Acceptance Rate20of96submissions,21%Overall Acceptance Rate107of408submissions,26%

PDF Format

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader