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

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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

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