2026-09-18T22:05:21Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/333012026-06-06T01:04:34Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Alex (Sandy) Pentland.
Lambert, Michel Joseph
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2006-07-13T15:13:42Z
2006-07-13T15:13:42Z
2005
2005
http://hdl.handle.net/1721.1/33301
62279487
Thesis (M. Eng. and S.B.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005.
Includes bibliographical references (p. 71-73).
The mainstream population is readily adapting to the notion that the carrying of mobile computational devices such as cell phones and PDAs on one's person is as essential as taking along one's watch or credit cards. In addition to their stated and oftentimes proprietary functionality, these technological innovations have the potential to also function as powerful sensory data collectors. These devices are able to record and store a variety of data about their owner's everyday activities, a new development that may significantly impact the way we recall information. Human memory, with its limitations and subjective recall of events, may now be supplemented by the latent potential of these in-place devices to accurately record one's daily activities, thereby giving us access to a wealth of information about our own lives. In order to make use of this recorded information, it must be presented in an easily understood format: timelines have been a traditional display metaphor for this type of data. This thesis explores the visualization and navigation schemes available for these large temporal data sets, and the types of analyzation that they facilitate.
by Michel Joseph Lambert.
M.Eng.
S.B.
73 p.
3572494 bytes
3575364 bytes
application/pdf
application/pdf
eng
Massachusetts Institute of Technology
M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
http://dspace.mit.edu/handle/1721.1/7582
Electrical Engineering and Computer Science.
Visualizing and analyzing human-centered data streams
Thesis
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