Development of novel algorithm and real-time monitoring ambulatory system using Bluetooth module for fall detection in the elderly

J. Y. Hwang, J. M. Kang, Y. W. Jang, Hee Chan Kim

Research output: Contribution to journalConference articleResearchpeer-review

122 Citations (Scopus)

Abstract

Novel algorithm and real-time ambulatory monitoring system for fall detection in elderly people is described. Our system is comprised of accelerometer, tilt sensor and gyroscope. For real-time monitoring, we used Bluetooth™. Accelerometer measures kinetic force, tilt sensor and gyroscope estimates body posture. Also, We suggested algorithm using signals which obtained from the system attached to the chest for fall detection. To evaluate our system and algorithm, we experimented on three people aged over 26 years. The experiment of four cases such as forward fall, backward fall, side fall and sit-stand was repeated ten times and the experiment in daily life activity was performed one time to each subject. These experiments showed that our system and algorithm could distinguish beween falling and daily life activity. Moreover, the accuracy of fall detection is 96.7%. Our system is especially adapted for long-time and real-time ambulatory monitoring of elderly people in emergency situation.

Original languageEnglish
Pages (from-to)2204-2207
Number of pages4
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume26 III
StatePublished - 1 Dec 2004
EventConference Proceedings - 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2004 - San Francisco, CA, United States
Duration: 1 Sep 20045 Sep 2004

Fingerprint

Ambulatory Monitoring
Bluetooth
Monitoring
Gyroscopes
Accelerometers
Accidental Falls
Experiments
Sensors
Posture
Emergencies
Thorax
Kinetics

Keywords

  • Ambulatory system, fall detection, Bluetooth, accelerometer, tilt sensor, gyroscope, real-time monitoring, emergency situation

Cite this

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title = "Development of novel algorithm and real-time monitoring ambulatory system using Bluetooth module for fall detection in the elderly",
abstract = "Novel algorithm and real-time ambulatory monitoring system for fall detection in elderly people is described. Our system is comprised of accelerometer, tilt sensor and gyroscope. For real-time monitoring, we used Bluetooth™. Accelerometer measures kinetic force, tilt sensor and gyroscope estimates body posture. Also, We suggested algorithm using signals which obtained from the system attached to the chest for fall detection. To evaluate our system and algorithm, we experimented on three people aged over 26 years. The experiment of four cases such as forward fall, backward fall, side fall and sit-stand was repeated ten times and the experiment in daily life activity was performed one time to each subject. These experiments showed that our system and algorithm could distinguish beween falling and daily life activity. Moreover, the accuracy of fall detection is 96.7{\%}. Our system is especially adapted for long-time and real-time ambulatory monitoring of elderly people in emergency situation.",
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Development of novel algorithm and real-time monitoring ambulatory system using Bluetooth module for fall detection in the elderly. / Hwang, J. Y.; Kang, J. M.; Jang, Y. W.; Kim, Hee Chan.

In: Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, Vol. 26 III, 01.12.2004, p. 2204-2207.

Research output: Contribution to journalConference articleResearchpeer-review

TY - JOUR

T1 - Development of novel algorithm and real-time monitoring ambulatory system using Bluetooth module for fall detection in the elderly

AU - Hwang, J. Y.

AU - Kang, J. M.

AU - Jang, Y. W.

AU - Kim, Hee Chan

PY - 2004/12/1

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N2 - Novel algorithm and real-time ambulatory monitoring system for fall detection in elderly people is described. Our system is comprised of accelerometer, tilt sensor and gyroscope. For real-time monitoring, we used Bluetooth™. Accelerometer measures kinetic force, tilt sensor and gyroscope estimates body posture. Also, We suggested algorithm using signals which obtained from the system attached to the chest for fall detection. To evaluate our system and algorithm, we experimented on three people aged over 26 years. The experiment of four cases such as forward fall, backward fall, side fall and sit-stand was repeated ten times and the experiment in daily life activity was performed one time to each subject. These experiments showed that our system and algorithm could distinguish beween falling and daily life activity. Moreover, the accuracy of fall detection is 96.7%. Our system is especially adapted for long-time and real-time ambulatory monitoring of elderly people in emergency situation.

AB - Novel algorithm and real-time ambulatory monitoring system for fall detection in elderly people is described. Our system is comprised of accelerometer, tilt sensor and gyroscope. For real-time monitoring, we used Bluetooth™. Accelerometer measures kinetic force, tilt sensor and gyroscope estimates body posture. Also, We suggested algorithm using signals which obtained from the system attached to the chest for fall detection. To evaluate our system and algorithm, we experimented on three people aged over 26 years. The experiment of four cases such as forward fall, backward fall, side fall and sit-stand was repeated ten times and the experiment in daily life activity was performed one time to each subject. These experiments showed that our system and algorithm could distinguish beween falling and daily life activity. Moreover, the accuracy of fall detection is 96.7%. Our system is especially adapted for long-time and real-time ambulatory monitoring of elderly people in emergency situation.

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