Activity recognition from accelerometer data (2005)
| Venue: | In Proceedings of the Seventeenth Conference on Innovative Applications of Artificial Intelligence(IAAI |
| Citations: | 40 - 2 self |
BibTeX
@INPROCEEDINGS{Ravi05activityrecognition,
author = {Nishkam Ravi and Nikhil D and Preetham Mysore and Michael L. Littman},
title = {Activity recognition from accelerometer data},
booktitle = {In Proceedings of the Seventeenth Conference on Innovative Applications of Artificial Intelligence(IAAI},
year = {2005},
pages = {1541--1546},
publisher = {AAAI Press}
}
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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 classification problem. Performance of base-level classifiers and meta-level classifiers is compared. Plurality Voting is found to perform consistently well across different settings.
