Fall Detection Using Plantar Inclinometer Sensor

Jianfei Sun; Zumin Wang; Bingnan Pei; Shuai Tao; Liming Chen

doi:10.1109/UIC-ATC-ScalCom-CBDCom-IoP.2015.308

Fall Detection Using Plantar Inclinometer Sensor

Jianfei Sun, Zumin Wang, Bingnan Pei, Shuai Tao, Liming Chen

Research output: Contribution to conference › Paper › peer-review

5 Citations (Scopus)

Abstract

In this paper, we report a method of fall detection using plantar inclinometer sensor, which provides us the information of angle variations during walking, and of angle status after a fall. We analyzed the normal range of angle variations during walking, and selected the thresholds by testing the distribution of plantar angles after falls. In the experiments, thresholds were selected from plantar angles of fall status in four directions: forward, backward, left and right. Using the selected thresholds, we detected falls in different situations for one hundred times and obtained the detection rate of 92%.

Original language	English
Pages	1692-1697
DOIs	https://doi.org/10.1109/UIC-ATC-ScalCom-CBDCom-IoP.2015.308
Publication status	Published (in print/issue) - Aug 2015
Event	2015 IEEE 12th Intl. Conf. on Ubiquitous Intelligence and Computing, 2015 IEEE 12th Intl. Conf. on Autonomic and Trusted Computing and 2015 IEEE 15th Intl. Conf. on Scalable Computing and Communications and its Associated Workshops (UIC-ATC-ScalCom) - Beijing Duration: 10 Aug 2015 → 14 Aug 2015

Conference

Conference	2015 IEEE 12th Intl. Conf. on Ubiquitous Intelligence and Computing, 2015 IEEE 12th Intl. Conf. on Autonomic and Trusted Computing and 2015 IEEE 15th Intl. Conf. on Scalable Computing and Communications and its Associated Workshops (UIC-ATC-ScalCom)
Period	10/08/15 → 14/08/15

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/UIC-ATC-ScalCom-CBDCom-IoP.2015.308

https://ieeexplore.ieee.org/document/7518489/

Cite this

Sun, J., Wang, Z., Pei, B., Tao, S., & Chen, L. (2015). Fall Detection Using Plantar Inclinometer Sensor. 1692-1697. Paper presented at 2015 IEEE 12th Intl. Conf. on Ubiquitous Intelligence and Computing, 2015 IEEE 12th Intl. Conf. on Autonomic and Trusted Computing and 2015 IEEE 15th Intl. Conf. on Scalable Computing and Communications and its Associated Workshops (UIC-ATC-ScalCom). https://doi.org/10.1109/UIC-ATC-ScalCom-CBDCom-IoP.2015.308

Sun, Jianfei ; Wang, Zumin ; Pei, Bingnan et al. / Fall Detection Using Plantar Inclinometer Sensor. Paper presented at 2015 IEEE 12th Intl. Conf. on Ubiquitous Intelligence and Computing, 2015 IEEE 12th Intl. Conf. on Autonomic and Trusted Computing and 2015 IEEE 15th Intl. Conf. on Scalable Computing and Communications and its Associated Workshops (UIC-ATC-ScalCom).

@conference{3a32984f541b48efb8c27513733dea42,

title = "Fall Detection Using Plantar Inclinometer Sensor",

abstract = "In this paper, we report a method of fall detection using plantar inclinometer sensor, which provides us the information of angle variations during walking, and of angle status after a fall. We analyzed the normal range of angle variations during walking, and selected the thresholds by testing the distribution of plantar angles after falls. In the experiments, thresholds were selected from plantar angles of fall status in four directions: forward, backward, left and right. Using the selected thresholds, we detected falls in different situations for one hundred times and obtained the detection rate of 92%.",

author = "Jianfei Sun and Zumin Wang and Bingnan Pei and Shuai Tao and Liming Chen",

year = "2015",

month = aug,

doi = "10.1109/UIC-ATC-ScalCom-CBDCom-IoP.2015.308",

language = "English",

pages = "1692--1697",

note = "2015 IEEE 12th Intl. Conf. on Ubiquitous Intelligence and Computing, 2015 IEEE 12th Intl. Conf. on Autonomic and Trusted Computing and 2015 IEEE 15th Intl. Conf. on Scalable Computing and Communications and its Associated Workshops (UIC-ATC-ScalCom) ; Conference date: 10-08-2015 Through 14-08-2015",

}

Sun, J, Wang, Z, Pei, B, Tao, S & Chen, L 2015, 'Fall Detection Using Plantar Inclinometer Sensor', Paper presented at 2015 IEEE 12th Intl. Conf. on Ubiquitous Intelligence and Computing, 2015 IEEE 12th Intl. Conf. on Autonomic and Trusted Computing and 2015 IEEE 15th Intl. Conf. on Scalable Computing and Communications and its Associated Workshops (UIC-ATC-ScalCom), 10/08/15 - 14/08/15 pp. 1692-1697. https://doi.org/10.1109/UIC-ATC-ScalCom-CBDCom-IoP.2015.308

Fall Detection Using Plantar Inclinometer Sensor. / Sun, Jianfei; Wang, Zumin; Pei, Bingnan et al.
2015. 1692-1697 Paper presented at 2015 IEEE 12th Intl. Conf. on Ubiquitous Intelligence and Computing, 2015 IEEE 12th Intl. Conf. on Autonomic and Trusted Computing and 2015 IEEE 15th Intl. Conf. on Scalable Computing and Communications and its Associated Workshops (UIC-ATC-ScalCom).

Research output: Contribution to conference › Paper › peer-review

TY - CONF

T1 - Fall Detection Using Plantar Inclinometer Sensor

AU - Sun, Jianfei

AU - Wang, Zumin

AU - Pei, Bingnan

AU - Tao, Shuai

AU - Chen, Liming

PY - 2015/8

Y1 - 2015/8

N2 - In this paper, we report a method of fall detection using plantar inclinometer sensor, which provides us the information of angle variations during walking, and of angle status after a fall. We analyzed the normal range of angle variations during walking, and selected the thresholds by testing the distribution of plantar angles after falls. In the experiments, thresholds were selected from plantar angles of fall status in four directions: forward, backward, left and right. Using the selected thresholds, we detected falls in different situations for one hundred times and obtained the detection rate of 92%.

AB - In this paper, we report a method of fall detection using plantar inclinometer sensor, which provides us the information of angle variations during walking, and of angle status after a fall. We analyzed the normal range of angle variations during walking, and selected the thresholds by testing the distribution of plantar angles after falls. In the experiments, thresholds were selected from plantar angles of fall status in four directions: forward, backward, left and right. Using the selected thresholds, we detected falls in different situations for one hundred times and obtained the detection rate of 92%.

U2 - 10.1109/UIC-ATC-ScalCom-CBDCom-IoP.2015.308

DO - 10.1109/UIC-ATC-ScalCom-CBDCom-IoP.2015.308

M3 - Paper

SP - 1692

EP - 1697

T2 - 2015 IEEE 12th Intl. Conf. on Ubiquitous Intelligence and Computing, 2015 IEEE 12th Intl. Conf. on Autonomic and Trusted Computing and 2015 IEEE 15th Intl. Conf. on Scalable Computing and Communications and its Associated Workshops (UIC-ATC-ScalCom)

Y2 - 10 August 2015 through 14 August 2015

ER -

Sun J, Wang Z, Pei B, Tao S, Chen L. Fall Detection Using Plantar Inclinometer Sensor. 2015. Paper presented at 2015 IEEE 12th Intl. Conf. on Ubiquitous Intelligence and Computing, 2015 IEEE 12th Intl. Conf. on Autonomic and Trusted Computing and 2015 IEEE 15th Intl. Conf. on Scalable Computing and Communications and its Associated Workshops (UIC-ATC-ScalCom). doi: 10.1109/UIC-ATC-ScalCom-CBDCom-IoP.2015.308

Fall Detection Using Plantar Inclinometer Sensor

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UN SDGs

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