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

Hsiao Lung Chan; Pei Kuang Chao; Yu Chuan Chen; Wei Jay Kao

doi:10.1109/ISSMDBS.2008.4575042

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

Hsiao Lung Chan^*
, Pei Kuang Chao
, Yu Chuan Chen
, Wei Jay Kao

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

13 Scopus citations

Abstract

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.

Original language	English
Title of host publication	Proc. 5th Int. Workshop on Wearable and Implantable Body Sensor Networks, BSN 2008, in conjunction with the 5th Int. Summer School and Symp. on Medical Devices and Biosensors, ISSS-MDBS 2008
Pages	157-160
Number of pages	4
DOIs	https://doi.org/10.1109/ISSMDBS.2008.4575042
State	Published - 2008
Event	5th International Workshop on Wearable and Implantable Body Sensor Networks, BSN 2008, in conjunction with the 5th International Summer School and Symposium on Medical Devices and Biosensors, ISSS-MDBS 2008 - Hong Kong, China Duration: 01 06 2008 → 03 06 2008

Publication series

Name	Proc. 5th Int. Workshop on Wearable and Implantable Body Sensor Networks, BSN2008, in conjunction with the 5th Int. Summer School and Symp. on Medical Devices and Biosensors, ISSS-MDBS 2008

Conference

Conference	5th International Workshop on Wearable and Implantable Body Sensor Networks, BSN 2008, in conjunction with the 5th International Summer School and Symposium on Medical Devices and Biosensors, ISSS-MDBS 2008
Country/Territory	China
City	Hong Kong
Period	01/06/08 → 03/06/08

Access to Document

10.1109/ISSMDBS.2008.4575042

Cite this

Chan, H. L., Chao, P. K., Chen, Y. C., & Kao, W. J. (2008). Wireless body area network for physical-activity classification and fall detection. In Proc. 5th Int. Workshop on Wearable and Implantable Body Sensor Networks, BSN 2008, in conjunction with the 5th Int. Summer School and Symp. on Medical Devices and Biosensors, ISSS-MDBS 2008 (pp. 157-160). Article 4575042 (Proc. 5th Int. Workshop on Wearable and Implantable Body Sensor Networks, BSN2008, in conjunction with the 5th Int. Summer School and Symp. on Medical Devices and Biosensors, ISSS-MDBS 2008). https://doi.org/10.1109/ISSMDBS.2008.4575042

Chan, Hsiao Lung ; Chao, Pei Kuang ; Chen, Yu Chuan et al. / Wireless body area network for physical-activity classification and fall detection. Proc. 5th Int. Workshop on Wearable and Implantable Body Sensor Networks, BSN 2008, in conjunction with the 5th Int. Summer School and Symp. on Medical Devices and Biosensors, ISSS-MDBS 2008. 2008. pp. 157-160 (Proc. 5th Int. Workshop on Wearable and Implantable Body Sensor Networks, BSN2008, in conjunction with the 5th Int. Summer School and Symp. on Medical Devices and Biosensors, ISSS-MDBS 2008).

@inproceedings{a1089be9a30d43a38b330f903646b32d,

title = "Wireless body area network for physical-activity classification and fall detection",

abstract = "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.",

author = "Chan, \{Hsiao Lung\} and Chao, \{Pei Kuang\} and Chen, \{Yu Chuan\} and Kao, \{Wei Jay\}",

year = "2008",

doi = "10.1109/ISSMDBS.2008.4575042",

language = "英语",

isbn = "9781424422531",

series = "Proc. 5th Int. Workshop on Wearable and Implantable Body Sensor Networks, BSN2008, in conjunction with the 5th Int. Summer School and Symp. on Medical Devices and Biosensors, ISSS-MDBS 2008",

pages = "157--160",

booktitle = "Proc. 5th Int. Workshop on Wearable and Implantable Body Sensor Networks, BSN 2008, in conjunction with the 5th Int. Summer School and Symp. on Medical Devices and Biosensors, ISSS-MDBS 2008",

note = "5th International Workshop on Wearable and Implantable Body Sensor Networks, BSN 2008, in conjunction with the 5th International Summer School and Symposium on Medical Devices and Biosensors, ISSS-MDBS 2008 ; Conference date: 01-06-2008 Through 03-06-2008",

}

Chan, HL, Chao, PK, Chen, YC & Kao, WJ 2008, Wireless body area network for physical-activity classification and fall detection. in Proc. 5th Int. Workshop on Wearable and Implantable Body Sensor Networks, BSN 2008, in conjunction with the 5th Int. Summer School and Symp. on Medical Devices and Biosensors, ISSS-MDBS 2008., 4575042, Proc. 5th Int. Workshop on Wearable and Implantable Body Sensor Networks, BSN2008, in conjunction with the 5th Int. Summer School and Symp. on Medical Devices and Biosensors, ISSS-MDBS 2008, pp. 157-160, 5th International Workshop on Wearable and Implantable Body Sensor Networks, BSN 2008, in conjunction with the 5th International Summer School and Symposium on Medical Devices and Biosensors, ISSS-MDBS 2008, Hong Kong, China, 01/06/08. https://doi.org/10.1109/ISSMDBS.2008.4575042

Wireless body area network for physical-activity classification and fall detection. / Chan, Hsiao Lung; Chao, Pei Kuang; Chen, Yu Chuan et al.
Proc. 5th Int. Workshop on Wearable and Implantable Body Sensor Networks, BSN 2008, in conjunction with the 5th Int. Summer School and Symp. on Medical Devices and Biosensors, ISSS-MDBS 2008. 2008. p. 157-160 4575042 (Proc. 5th Int. Workshop on Wearable and Implantable Body Sensor Networks, BSN2008, in conjunction with the 5th Int. Summer School and Symp. on Medical Devices and Biosensors, ISSS-MDBS 2008).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Wireless body area network for physical-activity classification and fall detection

AU - Chan, Hsiao Lung

AU - Chao, Pei Kuang

AU - Chen, Yu Chuan

AU - Kao, Wei Jay

PY - 2008

Y1 - 2008

N2 - 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.

AB - 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.

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DO - 10.1109/ISSMDBS.2008.4575042

M3 - 会议稿件

AN - SCOPUS:51949103687

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T3 - Proc. 5th Int. Workshop on Wearable and Implantable Body Sensor Networks, BSN2008, in conjunction with the 5th Int. Summer School and Symp. on Medical Devices and Biosensors, ISSS-MDBS 2008

SP - 157

EP - 160

BT - Proc. 5th Int. Workshop on Wearable and Implantable Body Sensor Networks, BSN 2008, in conjunction with the 5th Int. Summer School and Symp. on Medical Devices and Biosensors, ISSS-MDBS 2008

T2 - 5th International Workshop on Wearable and Implantable Body Sensor Networks, BSN 2008, in conjunction with the 5th International Summer School and Symposium on Medical Devices and Biosensors, ISSS-MDBS 2008

Y2 - 1 June 2008 through 3 June 2008

ER -

Chan HL, Chao PK, Chen YC, Kao WJ. Wireless body area network for physical-activity classification and fall detection. In Proc. 5th Int. Workshop on Wearable and Implantable Body Sensor Networks, BSN 2008, in conjunction with the 5th Int. Summer School and Symp. on Medical Devices and Biosensors, ISSS-MDBS 2008. 2008. p. 157-160. 4575042. (Proc. 5th Int. Workshop on Wearable and Implantable Body Sensor Networks, BSN2008, in conjunction with the 5th Int. Summer School and Symp. on Medical Devices and Biosensors, ISSS-MDBS 2008). doi: 10.1109/ISSMDBS.2008.4575042

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

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