ML Anthology

Activity Recognition from Accelerometer Data

Nishkam Ravi, Nikhil Dandekar, Preetham Mysore, Michael L. Littman
AAAI 2005 pp. 1541-1546
/aaai/2005/ravi2005aaai-activity/

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.

Semantic Scholar

Cite

Text

Ravi et al. "Activity Recognition from Accelerometer Data." AAAI Conference on Artificial Intelligence, 2005.

Markdown

[Ravi et al. "Activity Recognition from Accelerometer Data." AAAI Conference on Artificial Intelligence, 2005.](https://mlanthology.org/aaai/2005/ravi2005aaai-activity/)

BibTeX

@inproceedings{ravi2005aaai-activity,
  title     = {{Activity Recognition from Accelerometer Data}},
  author    = {Ravi, Nishkam and Dandekar, Nikhil and Mysore, Preetham and Littman, Michael L.},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2005},
  pages     = {1541-1546},
  url       = {https://mlanthology.org/aaai/2005/ravi2005aaai-activity/}
}