By Topic

Fall detection and location using ZigBee sensor network

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Tso-Cho Chen ; Dept. of Avionics, China Univ. of Sci. & Technol., Hsinchu, Taiwan

Falls are one of the major health risks that affect the quality of life among elderly by producing fear and resulting in decrease in mobility and activity. In this paper, a novel fall detection and location technology based on ZigBee sensor network is proposed to support independence and safety of elderly people. We present a simple scheme by which fall detection and localization simultaneously is possible with low energy and computation complexity costs. In our proposal, we use a single, waist-mounted, sensor to detect falls. We use fixed beacons placed in three dimensional environments, whose signals are used by sensor to compute their relative position. The main idea is that the waist-mounted sensor estimate the received signal strength indicator (RSSI) from the known beacons and estimate their position by means of a three-dimensional positioning method. The altitude threshold will be determined to distinguish between falls and activities of daily living.

Published in:

Cross Strait Quad-Regional Radio Science and Wireless Technology Conference (CSQRWC), 2011  (Volume:2 )

Date of Conference:

26-30 July 2011