@inproceedings{903e985ee1ae410bb9bdffc0a86cebdc,
title = "Gait analyzer based on a cell phone with a single three-axis accelerometer",
abstract = "We propose a fuss-free gait analyzer based on a single three-axis accelerometer mounted on a cell phone for health care and presence services. It is not necessary for users not to wear sensors on any part of their bodies; all they need to do is to carry the cell phone. Our algorithm has two main functions; one is to extract feature vectors by analyzing sensor data in detail using wavelet packet decomposition. The other is to flexibly cluster personal gaits by combining a self-organizing algorithm with Bayesian theory. Not only does the three-axis accelerometer realize low cost personal devices, but we can track aging or situation changes through on-line learning. A prototype that implements the algorithm is constructed. Experiments on the prototype show that the algorithm can identify gaits such as walking, running, going up/down stairs, and walking fast with an accuracy of about 80[%].",
keywords = "Accelerometer, Cell phone, Context, Gait analysis, Self-organizing map, Sensor, Ubiquitous service, Wavelet packet",
author = "Toshiki Iso and Kenichi Yamazaki",
year = "2006",
doi = "10.1145/1152215.1152244",
language = "English",
isbn = "1595933905",
series = "ACM International Conference Proceeding Series",
pages = "141--144",
booktitle = "MobileHCI 2006 - 8th International Conference on Human-Computer Interaction with Mobile Devices and Services",
note = "8th International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2006 ; Conference date: 12-09-2006 Through 15-09-2006",
}