skip to main content
10.1145/2459236.2459246acmotherconferencesArticle/Chapter ViewAbstractPublication PagesahConference Proceedingsconference-collections
research-article

Sensing the environment through SpiderSense

Published:07 March 2013Publication History

ABSTRACT

Recent scientific advances allow the use of technology to expand the number of forms of energy that can be perceived by humans. Smart sensors can detect hazards that human sensors are unable to perceive, for example radiation. This fusing of technology to human s forms of perception enables exciting new ways of perceiving the world around us. In this paper we describe the design of SpiderSense, a wearable device that projects the wearer s near environment on the skin and allows for directional awareness of objects around him. The millions of sensory receptors that cover the skin presents opportunities for conveying alerts and messages. We discuss the challenges and considerations of designing similar wearable devices.

References

  1. A. Cassinelli, C. Reynolds, and M. Ishikawa. Augmenting spatial awareness with haptic radar. In Wearable Computers, 2006 10th IEEE International Symposium on, pages 61 64. IEEE, 2006.Google ScholarGoogle ScholarCross RefCross Ref
  2. J. C. Craig and K. B. Lyle. A comparison of tactile spatial sensitivity on the palm and fingerpad. Attention, Perception, & Psychophysics, 63(2):337 347, 2001.Google ScholarGoogle Scholar
  3. F. Gemperle, N. Ota, and D. Siewiorek. Design of a wearable tactile display. In Wearable Computers, 2001. Proceedings. Fifth International Symposium on, pages 5 12. IEEE, 2001. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. P. Jaskowski. Simple reaction time and perception of temporal order: Dissociations and hypotheses. Perceptual and motor skills, 82(3):707 730, 1996.Google ScholarGoogle Scholar
  5. S. Jevas and J. H. Yan. The effect of aging on cognitive function: a preliminary quantitative review. Research Quarterly for Exercise and Sport, 72:49, 2001.Google ScholarGoogle Scholar
  6. K. O. Johnson and J. R. Phillips. Tactile spatial resolution. i. two-point discrimination, gap detection, grating resolution, and letter recognition. Journal of Neurophysiology, 46(6):1177 1192, 1981.Google ScholarGoogle ScholarCross RefCross Ref
  7. R. V. Kenyon and J. Leigh. Human augmentics: Augmenting human evolution. In Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE, pages 6758 6761. IEEE, 2011.Google ScholarGoogle Scholar
  8. C. W. Luchies, J. Schiffman, L. G. Richards, M. R. Thompson, D. Bazuin, and A. J. DeYoung. Effects of age, step direction, and reaction condition on the ability to step quickly. The Journals of Gerontology Series A: Biological Sciences and Medical Sciences, 57(4):M246 M249, 2002.Google ScholarGoogle ScholarCross RefCross Ref
  9. D. R. Miaw and R. Raskar. Second skin: Motion capture with actuated feedback for motor learning. In Proceedings of the 27th international conference extended abstracts on Human factors in computing systems, pages 4537 4542. ACM, 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. G. Mowbray and J. Gebhard. Man s senses as informational channels. Technical report, DTIC Document, 1958.Google ScholarGoogle Scholar
  11. E. S. Robinson. Work of the integrated organism. 1934.Google ScholarGoogle Scholar
  12. S. A. Rose, J. F. Feldman, J. J. Jankowski, and D. M. Caro. A longitudinal study of visual expectation and reaction time in the first year of life. Child Development, 73(1):47 61, 2002.Google ScholarGoogle ScholarCross RefCross Ref
  13. C. Schonauer, K. Fukushi, A. Olwal, H. Kaufmann, and R. Raskar. Multimodal motion guidance: techniques for adaptive and dynamic feedback. In Proceedings of the 14th ACM international conference on Multimodal interaction, pages 133 140. ACM, 2012. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. B.-S. Shin and C.-S. Lim. Obstacle detection and avoidance system for visually impaired people. Haptic and Audio Interaction Design, pages 78 85, 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. K. Tsukada and M. Yasumura. Activebelt: Belt-type wearable tactile display for directional navigation. UbiComp 2004: Ubiquitous Computing, pages 384 399, 2004.Google ScholarGoogle Scholar
  16. J. B. van Erp and H. Van Veen. A multipurpose tactile vest for astronauts in the international space station. In Proceedings of eurohaptics, pages 405 408. Dublin, Ireland: ACM, Press, 2003.Google ScholarGoogle Scholar
  17. H. Van Veen and J. B. Van Erp. Providing directional information with tactile torso displays. In Proceedings of EuroHaptics, pages 471 474, 2003.Google ScholarGoogle Scholar
  18. R. T. Verrillo. A duplex mechanism of mechanoreception. The skin senses, pages 139 156, 1968.Google ScholarGoogle Scholar
  19. E. Weber. De tactu. Koehler, Leipzig, 1834.Google ScholarGoogle Scholar
  20. E. Weber. The sense of touch (he ross, trans.). Academic, London (Original work published 1834), 1978.Google ScholarGoogle Scholar
  21. E. H. Weber. Der tastsinn und das gemeingefuhl {1846}, hg. v. Ewald Hering, Leipzig, 1905.Google ScholarGoogle Scholar
  22. S. Weinstein. Intensive and extensive aspects of tactile sensitivity as a function of body part, sex and laterality. In the First Int'l symp. on the Skin Senses, 1968, 1968.Google ScholarGoogle Scholar
  23. A. Welford. Motor performance. Handbook of the psychology of aging, 2:450 95, 1977.Google ScholarGoogle Scholar

Index Terms

  1. Sensing the environment through SpiderSense

          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 Other conferences
            AH '13: Proceedings of the 4th Augmented Human International Conference
            March 2013
            254 pages
            ISBN:9781450319041
            DOI:10.1145/2459236

            Copyright © 2013 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 March 2013

            Permissions

            Request permissions about this article.

            Request Permissions

            Check for updates

            Qualifiers

            • research-article

            Acceptance Rates

            AH '13 Paper Acceptance Rate49of69submissions,71%Overall Acceptance Rate121of306submissions,40%

          PDF Format

          View or Download as a PDF file.

          PDF

          eReader

          View online with eReader.

          eReader