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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Main Authors: Paradiso, Joseph A, Laibowitz, Mathew Joel, Gong, Nan-wei
Other Authors: Massachusetts Institute of Technology. Media Laboratory
Format: Article
Language:en_US
Published: Institute of Electrical and Electronics Engineers 2010
Online Access:http://hdl.handle.net/1721.1/60018
https://orcid.org/0000-0002-6399-5776
https://orcid.org/0000-0002-0719-7104
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author Paradiso, Joseph A
Laibowitz, Mathew Joel
Gong, Nan-wei
author2 Massachusetts Institute of Technology. Media Laboratory
author_facet Massachusetts Institute of Technology. Media Laboratory
Paradiso, Joseph A
Laibowitz, Mathew Joel
Gong, Nan-wei
author_sort Paradiso, Joseph A
collection MIT
description 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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spelling mit-1721.1/600182022-09-23T14:00:34Z Wearable sensing for dynamic management of dense ubiquitous media Paradiso, Joseph A Laibowitz, Mathew Joel Gong, Nan-wei Massachusetts Institute of Technology. Media Laboratory Massachusetts Institute of Technology. Responsive Environments Group Program in Media Arts and Sciences (Massachusetts Institute of Technology) Paradiso, Joseph A. Paradiso, Joseph A Laibowitz, Mathew Joel Gong, Nan-wei 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. Things That Think Consortium 2010-11-21T20:05:03Z 2010-11-21T20:05:03Z 2009-06 Article http://purl.org/eprint/type/ConferencePaper 978-0-7695-3644-6 INSPEC Accession Number: 10844824 http://hdl.handle.net/1721.1/60018 Laibowitz, M., Nan-Wei Gong, and J.A. Paradiso. “Wearable Sensing for Dynamic Management of Dense Ubiquitous Media.” Wearable and Implantable Body Sensor Networks, 2009. BSN 2009. Sixth International Workshop on. 2009. 3-8. © 2009, IEEE https://orcid.org/0000-0002-6399-5776 https://orcid.org/0000-0002-0719-7104 en_US http://dx.doi.org/10.1109/BSN.2009.59 International Workshop on Wearable and Implantable Body Sensor Networks Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf Institute of Electrical and Electronics Engineers IEEE
spellingShingle Paradiso, Joseph A
Laibowitz, Mathew Joel
Gong, Nan-wei
Wearable sensing for dynamic management of dense ubiquitous media
title Wearable sensing for dynamic management of dense ubiquitous media
title_full Wearable sensing for dynamic management of dense ubiquitous media
title_fullStr Wearable sensing for dynamic management of dense ubiquitous media
title_full_unstemmed Wearable sensing for dynamic management of dense ubiquitous media
title_short Wearable sensing for dynamic management of dense ubiquitous media
title_sort wearable sensing for dynamic management of dense ubiquitous media
url http://hdl.handle.net/1721.1/60018
https://orcid.org/0000-0002-6399-5776
https://orcid.org/0000-0002-0719-7104
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