Demo: Automatically generating interesting events with LifeJoin
Name
Madden_Demo automatically.pdf
Size
182.1 KB
Format
Adobe PDF
Checksum (MD5)
c312fff01fc3cc7a0d88ae48aacf5bac
Author(s)
Cheung, Alvin K.
Thiagarajan, Arvind
Madden, Samuel R.
Date Issued
November 2011
Journal
Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems (SenSys '11)
Publisher
Association for Computing Machinery (ACM)
Citation
Alvin Cheung, Arvind Thiagarajan, and Samuel Madden. 2011. Demo: Automatically generating interesting events with LifeJoin. In Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems (SenSys '11). ACM, New York, NY, USA, 411-412.
Version
Author's final manuscript
Abstract
This demo will showcase LifeJoin, a system that collects raw sensor data from phones and laptop computers to generate interesting events. Given the raw sensor data, LifeJoin implements a number of activity recognition algorithms to generate higher-level events. Furthermore, it uses supervised learning techniques to learn from users' feedback to generate only events of interest. In this demo, the audience will get to interact with the LifeJoin system and be able to examine the internals of LifeJoin.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike 3.0
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1145/2070942.2071015
