@article{ref1,
title="Direction sensitive fall detection using a triaxial accelerometer and a barometric pressure sensor",
journal="Conference proceedings - IEEE engineering in medicine and biology society",
year="2011",
author="Tolkiehn, Marie and Atallah, Louis and Lo, Benny and Yang, Guang-Zhong",
volume="2011",
number="",
pages="369-372",
abstract="Falling is one of the leading causes of serious health decline or injury-related deaths in the elderly. For survivors of a fall, the resulting health expenses can be a devastating burden, largely because of the long recovery time and potential comorbidities that ensue. The detection of a fall is, therefore, important in care of the elderly for decreasing the reaction time by the care-givers especially for those in care who are particularly frail or living alone. Recent advances in motion-sensor technology have enabled wearable sensors to be used efficiently for pervasive care of the elderly. In addition to fall detection, it is also important to determine the direction of a fall, which could help in the location of joint weakness or post-fall fracture. This work uses a waist-worn sensor, encompassing a 3D accelerometer and a barometric pressure sensor, for reliable fall detection and the determination of the direction of a fall. Also assessed is an efficient analysis framework suitable for on-node implementation using a low-power micro-controller that involves both feature extraction and fall detection. A detailed laboratory analysis is presented validating the practical application of the system.<p /> <p>Language: en</p>",
language="en",
issn="1557-170X",
doi="10.1109/IEMBS.2011.6090120",
url="http://dx.doi.org/10.1109/IEMBS.2011.6090120"
}