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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Institute of Electrical and Electronics Engineers
2010
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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. |
first_indexed | 2024-09-23T08:42:23Z |
format | Article |
id | mit-1721.1/60018 |
institution | Massachusetts Institute of Technology |
language | en_US |
last_indexed | 2024-09-23T08:42:23Z |
publishDate | 2010 |
publisher | Institute of Electrical and Electronics Engineers |
record_format | dspace |
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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