@article{ref1,
title="Automatic fall detection using wearable biomedical signal measurement terminal",
journal="Conference proceedings - IEEE engineering in medicine and biology society",
year="2009",
author="Nguyen, Thuy-Trang and Cho, Myeong-Chan and Lee, Tae-Soo",
volume="1",
number="",
pages="5203-5206",
abstract="In our study, we developed a mobile waist-mounted device which can monitor the subject's acceleration signal and detect the fall events in real-time with high accuracy and automatically send an emergency message to a remote server via CDMA module. When fall event happens, the system also generates an alarm sound at 50Hz to alarm other people until a subject can sit up or stand up. A Kionix KXM52-1050 tri-axial accelerometer and a Bellwave BSM856 CDMA standalone modem were used to detect and manage fall events. We used not only a simple threshold algorithm but also some supporting methods to increase an accuracy of our system (nearly 100% in laboratory environment). Timely fall detection can prevent regrettable death due to long-lie effect; therefore increase the independence of elderly people in an unsupervised living environment.<p /> <p>Language: en</p>",
language="en",
issn="1557-170X",
doi="10.1109/IEMBS.2009.5334079",
url="http://dx.doi.org/10.1109/IEMBS.2009.5334079"
}