skip to main content
10.1145/2677199.2680586acmconferencesArticle/Chapter ViewAbstractPublication PagesteiConference Proceedingsconference-collections
research-article

Flutter: An Exploration of an Assistive Garment Using Distributed Sensing, Computation and Actuation

Published:15 January 2015Publication History

ABSTRACT

Assistive technology (AT) has the ability to improve the standard of living of those with disabilities, however, it can often be abandoned for aesthetic or stigmatizing reasons. Garment-based AT offers novel opportunities to address these issues as it can stay with the user to continuously monitor and convey relevant information, is non-invasive, and can provide aesthetically pleasing alternatives. In an effort to overcome traditional AT and wearable computing challenges including, cumbersome hardware constraints and social acceptability, we present Flutter, a fashion-oriented wearable AT. Flutter seamlessly embeds low-profile networked sensing, computation, and actuation to facilitate sensory augmentation for those with hearing loss. The miniaturized distributed hardware enables both textile integration and new methods to pair fashion with function, as embellishments are functionally leveraged to complement technology integration. Finally, we discuss future applications and broader implications of using such computationally-enabled textile wearables to support sensory augmentation beyond the realm of AT.

References

  1. Alahakone, A. U., and Senanayake, S, A. "Vibrotactile feedback systems: Current trends in rehabilitation, sports and information display." AIM. IEEE, 2009.Google ScholarGoogle Scholar
  2. Basu, S., Schwartz, S., and Pentland, A. Wearable phased arrays for sound localization and enhancement. In Proc. ISWC, IEEE (2000), 103--110. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. DeVaul, R., Sung, M., Gips, J., and Pentland, A.S. Mithril. Applications and architecture. ISWC '03. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Gorlick, M. Electric Suspenders: A Fabric Power Bus and Data Network for Wearable Digital Devices. In Proc. ISWC 1999, IEEE (1999), 114--121. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Jones, M. T., and Martin, T. L. 6 Hardware and Software Architectures for Electronic Textiles. Smart Clothing. CRC Press, Boca Raton, FL, USA, 2010.Google ScholarGoogle Scholar
  6. Kahn, J.M., Katz, R.H., and Pister, K.S. Next century challenges: mobile networking for "Smart Dust". In Mobile computing and networking. ACM Press (1999). Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Kintsch, A., and DePaula, R. A framework for the adoption of assistive technology. SWAAAC: Supporting Learning Through Assistive Tech. '02, 1--10.Google ScholarGoogle Scholar
  8. Lehn, D., Neely, C., Schoonover, K., Martin, T., and Jones, M. e-TAGs: e-textile attached gadgets.CNDS '04.Google ScholarGoogle Scholar
  9. Lifton, J., Seetharam, D., Broxton, M., and Paradiso, J. Pushpin computing system overview: A platform for distributed, embedded, ubiquitous sensor networks. In Pervasive Computing, (2002), 139--151. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Marculescu, D. et al. Electronic textiles: A platform for pervasive computing. IEEE, 91, 12 (2003), 1995--2018.Google ScholarGoogle ScholarCross RefCross Ref
  11. Nakad, Z., Jones, M., Martin, T., and Fawaz, W. Networking in E-textiles. Comp. communications, 33, 6(2010). Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Paradiso, J.A., Lifton, J., and Broxton, M. Sensate media-multimodal electronic skins as dense sensor networks. BT Technology Journal, 22, 4 (2004), 32--44. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Profita, H., Farrow, N., and Correll, N. Flutter. In Adjunct Proc. ISWC 2012, IEEE (2012), 44--46Google ScholarGoogle Scholar
  14. Ross, D.A. Implementing assistive technology on wearabe computers. Intel. Sys. IEEE 16.3 (2001), 47--53. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. Van Laerhoven, K., Schmidt, A., and Gellersen, H. W., Multi-Sensor Context Aware Clothing. In ISWC (2002).Google ScholarGoogle ScholarCross RefCross Ref
  16. Zimmerman, T.G. Personal area networks: near-field intrabody communication. IBM Sys. Jour, 35(3.4) 1996. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. Interview with CCA Captioning representative. http://ccacaptioning.org. Last retrieved 9/19/2012.Google ScholarGoogle Scholar

Index Terms

  1. Flutter: An Exploration of an Assistive Garment Using Distributed Sensing, Computation and Actuation

        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
          TEI '15: Proceedings of the Ninth International Conference on Tangible, Embedded, and Embodied Interaction
          January 2015
          766 pages
          ISBN:9781450333054
          DOI:10.1145/2677199

          Copyright © 2015 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 the author(s) 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: 15 January 2015

          Permissions

          Request permissions about this article.

          Request Permissions

          Check for updates

          Qualifiers

          • research-article

          Acceptance Rates

          TEI '15 Paper Acceptance Rate63of222submissions,28%Overall Acceptance Rate393of1,367submissions,29%

        PDF Format

        View or Download as a PDF file.

        PDF

        eReader

        View online with eReader.

        eReader