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Context-aware classification of continuous video from wearables

Published: 05 November 2007 Publication History

Abstract

The next big step in video-based life logging is to exploit image processing and context inference from multiple sensors. Automatic segmentation and classification of personal experiences recorded with always-on wearable devices may forge entirely new pragmatics of human interaction.
Yet, how do we anticipate social dynamics to tackle critical ethical matters? Are we supposed to fit a design concept onto a to this point non-existent market or technology?
We aim to contribute to the digital age discourse by making this emergent domain viable for responsible iterative design approaches.
This sketch outlines how we address the novel technology at hand by integrating technical development and design strategies in a convergent full-circle approach.

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Clarkson, B. Life Patterns: Structure from Wearable Sensors. Ph.D. Thesis, Massachusetts Institute of Technology, Cambridge, MA (2002)
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Gemmell, J., Williams, L., Wood K., Lueder, R., and Bell, G. Passive Capture and Ensuing Issues for a Personal Lifetime Store. Proceedings of the 1st ACM workshop on Continuous Archival and Retrieval of Personal Experiences. New York, USA (2004)
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Smeaton, A. F. Content vs. Context for Multimedia Semantics: The Case of SenseCam Image Structuring. Lecture Notes in Computer Science: Semantic Multimedia (2006)
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IJsselsteijn, W., de Kort, Y., Cees J. H. Midden, Eggen, B., and van den Hoven, E. (Eds.): Persuasive Technology: First International Conference on Persuasive Technology for Human Well-Being, PERSUASIVE 2006, Eindhoven, The Netherlands. Berlin: Springer, 203--206 (2006)
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Cited By

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  • (2009)A Framework for Review, Annotation, and Classification of Continuous Video in ContextProceedings of the 10th International Symposium on Smart Graphics10.1007/978-3-642-02115-2_28(290-294)Online publication date: 22-May-2009

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cover image ACM Conferences
DUX '07: Proceedings of the 2007 conference on Designing for User eXperiences
November 2007
279 pages
ISBN:9781605583082
DOI:10.1145/1389908
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]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 05 November 2007

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Author Tags

  1. concept design
  2. context-aware computing
  3. interdisciplinary design
  4. prototyping
  5. social media
  6. user generated content
  7. video
  8. wearable

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  • Research-article

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DUX07
DUX07: Designing the User Experience
November 5 - 7, 2007
Illinois, Chicago

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Overall Acceptance Rate 59 of 59 submissions, 100%

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Cited By

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  • (2009)A Framework for Review, Annotation, and Classification of Continuous Video in ContextProceedings of the 10th International Symposium on Smart Graphics10.1007/978-3-642-02115-2_28(290-294)Online publication date: 22-May-2009

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