By Topic

Wireless body area network for physical-activity classification and fall detection

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

4 Author(s)
Hsiao-lung Chan ; Dept. of Electr. Eng., Chang Gung Univ., Taoyuan ; Pei-Kuang Chao ; Yu-Chuan Chen ; Wei-Jay Kao

A body area network constructed by a low-power microcontroller- (MSP430F149) and 2.4-GHz RF transceiver-(nRF24L01) is proposed to record body accelerations from multiple sites. The wireless setups reduce the inconvenience for free-moving due to the line connection between sensors and the central data processing recorder. The body area network was demonstrated useful in our experiments, while the subjects performed a series of scripted physical activity, free-moving, simulated falls and postural changes. In this system, a secure digital memory card was used to store measured acceleration signals in the central unit. The recorded data were processed to classify physical activity of the carrier by a multi-layer fuzzy clustering in a personal computer. Falls were detected by analyzing the changing magnitude of tri-axial accelerations. The proposed system can be applied to measure daily physical activity and detect falls in free-moving patients and the elderly.

Published in:

Medical Devices and Biosensors, 2008. ISSS-MDBS 2008. 5th International Summer School and Symposium on

Date of Conference:

1-3 June 2008