Activity Recognition with Mobile Phones
Abstract
Our demonstration consists of a working activity and gait recognition system, implemented on a commercial smartphone. The activity recognition feature allows participants to train various activities, such as running, walking, or jumping, on the phone; the system can then identify when those activities are performed. The gait recognition feature learns particular characteristics of how participants walk, allowing the phone to identify the person carrying it.
Cite
Text
Frank et al. "Activity Recognition with Mobile Phones." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2011. doi:10.1007/978-3-642-23808-6_44Markdown
[Frank et al. "Activity Recognition with Mobile Phones." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2011.](https://mlanthology.org/ecmlpkdd/2011/frank2011ecmlpkdd-activity/) doi:10.1007/978-3-642-23808-6_44BibTeX
@inproceedings{frank2011ecmlpkdd-activity,
title = {{Activity Recognition with Mobile Phones}},
author = {Frank, Jordan and Mannor, Shie and Precup, Doina},
booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
year = {2011},
pages = {630-633},
doi = {10.1007/978-3-642-23808-6_44},
url = {https://mlanthology.org/ecmlpkdd/2011/frank2011ecmlpkdd-activity/}
}