Inertial sensor based post fall analysis for false alarming reduction

Lin Ye; Kai Cao; Jay Guo; Xiaojing Huang; Peter Beadle; Ahmadreza Argha; Massimo Piccardi; Guangquan Zhang; Steven W. Su

doi:10.2316/P.2016.846-011

Inertial sensor based post fall analysis for false alarming reduction

Lin Ye, Kai Cao, Jay Guo, Xiaojing Huang, Peter Beadle, Ahmadreza Argha, Massimo Piccardi, Guangquan Zhang, Steven W. Su

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

Abstract

One of the major public health problems among elderly people is falling injury. This study investigates fall detection and prevention by using inertial sensors for which the major existing challenging is how to significantly reduce false alarming in order to enhance the acceptance of elderly users during rehabilitation and daily exercises. Different from most existing approaches in the literature, the behavior after falling will be analyzed in details, which can not only greatly reduce false alarming, but also significantly improves the accuracy of the assessment of the severity of falling injuries.

Original language	English
Title of host publication	Proceedings of the Third IASTED International Conference on Telehealth and Assistive Technology (TAT 2016)
Editors	M. H. Hamza
Place of Publication	Calgary, Canada
Publisher	ACTA Press
Pages	36-43
Number of pages	8
ISBN (Print)	9780889869868
DOIs	https://doi.org/10.2316/P.2016.846-011
Publication status	Published - 17 Oct 2016
Externally published	Yes
Event	IASTED International Conference on Telehealth and Assistive Technology (3rd : 2016) - Zurich, Switzerland Duration: 6 Oct 2016 → 8 Oct 2016

Other

Other	IASTED International Conference on Telehealth and Assistive Technology (3rd : 2016)
Abbreviated title	TAT 2016
Country/Territory	Switzerland
City	Zurich
Period	6/10/16 → 8/10/16

Keywords

Fall detection
Inertial sensor
Post fall behavior

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10.2316/P.2016.846-011

Cite this

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title = "Inertial sensor based post fall analysis for false alarming reduction",

abstract = "One of the major public health problems among elderly people is falling injury. This study investigates fall detection and prevention by using inertial sensors for which the major existing challenging is how to significantly reduce false alarming in order to enhance the acceptance of elderly users during rehabilitation and daily exercises. Different from most existing approaches in the literature, the behavior after falling will be analyzed in details, which can not only greatly reduce false alarming, but also significantly improves the accuracy of the assessment of the severity of falling injuries.",

keywords = "Fall detection, Inertial sensor, Post fall behavior",

author = "Lin Ye and Kai Cao and Jay Guo and Xiaojing Huang and Peter Beadle and Ahmadreza Argha and Massimo Piccardi and Guangquan Zhang and Su, {Steven W.}",

year = "2016",

month = oct,

day = "17",

doi = "10.2316/P.2016.846-011",

language = "English",

isbn = "9780889869868",

pages = "36--43",

editor = "Hamza, {M. H.}",

booktitle = "Proceedings of the Third IASTED International Conference on Telehealth and Assistive Technology (TAT 2016)",

publisher = "ACTA Press",

address = "Canada",

note = "IASTED International Conference on Telehealth and Assistive Technology (3rd : 2016), TAT 2016 ; Conference date: 06-10-2016 Through 08-10-2016",

}

Ye, L, Cao, K, Guo, J, Huang, X, Beadle, P, Argha, A, Piccardi, M, Zhang, G & Su, SW 2016, Inertial sensor based post fall analysis for false alarming reduction. in MH Hamza (ed.), Proceedings of the Third IASTED International Conference on Telehealth and Assistive Technology (TAT 2016). ACTA Press, Calgary, Canada, pp. 36-43, IASTED International Conference on Telehealth and Assistive Technology (3rd : 2016), Zurich, Switzerland, 6/10/16. https://doi.org/10.2316/P.2016.846-011

Inertial sensor based post fall analysis for false alarming reduction. / Ye, Lin; Cao, Kai; Guo, Jay et al.
Proceedings of the Third IASTED International Conference on Telehealth and Assistive Technology (TAT 2016). ed. / M. H. Hamza. Calgary, Canada: ACTA Press, 2016. p. 36-43.

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

TY - GEN

T1 - Inertial sensor based post fall analysis for false alarming reduction

AU - Ye, Lin

AU - Cao, Kai

AU - Guo, Jay

AU - Huang, Xiaojing

AU - Beadle, Peter

AU - Argha, Ahmadreza

AU - Piccardi, Massimo

AU - Zhang, Guangquan

AU - Su, Steven W.

PY - 2016/10/17

Y1 - 2016/10/17

N2 - One of the major public health problems among elderly people is falling injury. This study investigates fall detection and prevention by using inertial sensors for which the major existing challenging is how to significantly reduce false alarming in order to enhance the acceptance of elderly users during rehabilitation and daily exercises. Different from most existing approaches in the literature, the behavior after falling will be analyzed in details, which can not only greatly reduce false alarming, but also significantly improves the accuracy of the assessment of the severity of falling injuries.

AB - One of the major public health problems among elderly people is falling injury. This study investigates fall detection and prevention by using inertial sensors for which the major existing challenging is how to significantly reduce false alarming in order to enhance the acceptance of elderly users during rehabilitation and daily exercises. Different from most existing approaches in the literature, the behavior after falling will be analyzed in details, which can not only greatly reduce false alarming, but also significantly improves the accuracy of the assessment of the severity of falling injuries.

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KW - Inertial sensor

KW - Post fall behavior

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DO - 10.2316/P.2016.846-011

M3 - Conference proceeding contribution

AN - SCOPUS:85015655349

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EP - 43

BT - Proceedings of the Third IASTED International Conference on Telehealth and Assistive Technology (TAT 2016)

A2 - Hamza, M. H.

PB - ACTA Press

CY - Calgary, Canada

T2 - IASTED International Conference on Telehealth and Assistive Technology (3rd : 2016)

Y2 - 6 October 2016 through 8 October 2016

ER -

Inertial sensor based post fall analysis for false alarming reduction

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Keywords

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