Social motion : mobile networking through sensing human behavior
Name
122905196-MIT.pdf
Description
Full printable version
Size
5.38 MB
Format
Adobe PDF
Checksum (MD5)
0aca7beff3cc62ace1d081bbe04d3669
Author(s)
Gips, Jonathan Peter
Advisor(s)
Alex (Sandy) Pentland.
Date Issued
2006
Publisher
Massachusetts Institute of Technology
Abstract
Low-level sensors can provide surprisingly high-level information about social interactions. The goal of this thesis is to define the components of a framework for sensing social context with mobile devices. We describe several sensing technologies - including infrared transceivers, radio frequency scanners, and accelerometers - that both capture social signals and meet the design constraints of mobile devices. Through the analysis of several large datasets, we identify features from these sensors that correlate well with the underlying social structure of interacting groups of people. We then detail the work that we have done creating infrastructure that integrates social sensors into social applications that run on mobile devices.
Description
Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2006.
"September 2006."
Includes bibliographical references (leaves 62-65).
Subjects
Architecture. Program In Media Arts and Sciences
MIT Department
Program in Media Arts and Sciences (Massachusetts Institute of Technology)
Terms of Use
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