Wearable sensing for dynamic management of dense ubiquitous media

Most visions of ubiquitous computing anticipate a world permeated by a dense sampling of sensors, many of which will be capable of capturing, analyzing, and transmitting personally relevant and potentially privacy-sensitive media, such as video, audio, and identification information. This paper desc...

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Bibliographic Details
Main Authors: Paradiso, Joseph A (Contributor), Laibowitz, Mathew Joel (Contributor), Gong, Nan-wei (Contributor)
Other Authors: Massachusetts Institute of Technology. Media Laboratory (Contributor), Massachusetts Institute of Technology. Responsive Environments Group (Contributor), Program in Media Arts and Sciences (Massachusetts Institute of Technology) (Contributor), Paradiso, Joseph A. (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers, 2010-11-21T20:05:03Z.
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Description
Summary:Most visions of ubiquitous computing anticipate a world permeated by a dense sampling of sensors, many of which will be capable of capturing, analyzing, and transmitting personally relevant and potentially privacy-sensitive media, such as video, audio, and identification information. This paper describes a set of sensor platforms that we have designed to experiment with personalization, interaction, and control in such dense media capture environments.
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