DMCA
Activity recognition from accelerometer data (2005)
Cached
Download Links
- [www.aaai.org]
- [dollar.biz.uiowa.edu]
- [paul.rutgers.edu]
- [paul.rutgers.edu]
- [joggers-music-app.googlecode.com]
- DBLP
Other Repositories/Bibliography
by
Nishkam Ravi
,
Nikhil D
,
Preetham Mysore
,
Michael L. Littman
| Citations: | 214 - 2 self |
BibTeX
@MISC{Ravi05activityrecognition,
author = {Nishkam Ravi and Nikhil D and Preetham Mysore and Michael L. Littman},
title = {Activity recognition from accelerometer data},
year = {2005}
}
Share
 |
 |
 |
 |
||
OpenURL
Abstract
Activity recognition fits within the bigger framework of context awareness. In this paper, we report on our efforts to recognize user activity from accelerometer data. Activity recognition is formulated as a classifica-tion problem. Performance of base-level classifiers and meta-level classifiers is compared. Plurality Voting is found to perform consistently well across different set-tings.
