research-article

Human movement detection using attitude and heading reference system

Authors:

George K. Fourlas,

Ilias MaglogiannisAuthors Info & Claims

PETRA '14: Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments

Article No.: 30, Pages 1 - 7

https://doi.org/10.1145/2674396.2674454

Published: 27 May 2014 Publication History

Abstract

Among different types of human movement, falls are the most important since they related with high social and economic costs. Falls can cause various unintentional injuries such as fractures or in the worst-case scenario even lead to death, elderly citizen. Wearable devices present a growing interest in health care applications since they can detect signals of human activity and continuously monitoring critical parameters, offering a reliable and inexpensive solution. In this paper, an attitude and heading reference system - inertial measurement unit (IMU) is used in order to detect human movement and especially different type of falls.

References

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Cited By

Cedillo PSanchez CCampos KBermeo A(2018)A Systematic Literature Review on Devices and Systems for Ambient Assisted Living: Solutions and Trends from Different User Perspectives2018 International Conference on eDemocracy & eGovernment (ICEDEG)10.1109/ICEDEG.2018.8372367(59-66)Online publication date: Apr-2018
https://doi.org/10.1109/ICEDEG.2018.8372367
Hamm JMoney AAtwal AParaskevopoulos I(2016)Fall prevention intervention technologiesJournal of Biomedical Informatics10.1016/j.jbi.2015.12.01359:C(319-345)Online publication date: 1-Feb-2016
https://dl.acm.org/doi/10.1016/j.jbi.2015.12.013

Index Terms

Human movement detection using attitude and heading reference system
1. Applied computing
  1. Life and medical sciences

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cover image ACM Other conferences

PETRA '14: Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments

May 2014

408 pages

ISBN:9781450327466

DOI:10.1145/2674396

Conference Chair:
Fillia Makedon
University of Texas at Arlington
,
Program Chairs:
Mark Clements
Georgia Institute of Technology
,
Catherine Pelachaud
TELECOM ParisTech, France
,
Vana Kalogeraki
Athens University of Economics and Bus
,
Ilias Maglogiannis
University of Piraeus, Greece

Copyright © 2014 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

Sponsors

iPerform Center: iPerform Center for Assistive Technologies to Enhance Human Performance
CSE@UTA: Department of Computer Science and Engineering, The University of Texas at Arlington
HERACLEIA: HERACLEIA Human-Centered Computing Laboratory at UTA
U of Tex at Arlington: U of Tex at Arlington
NCRS: Demokritos National Center for Scientific Research
Fulbrigh, Greece: Fulbright Foundation, Greece

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 May 2014

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Funding Sources

European Union (European Social Fund) and Greek national funds

Conference

PETRA '14

Sponsor:

iPerform Center
CSE@UTA
HERACLEIA
U of Tex at Arlington
NCRS
Fulbrigh, Greece

PETRA '14: The 7th International Conference on PErvasive Technologies Related to Assistive Environments

May 27 - 30, 2014

Rhodes, Greece

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Cited By

Cedillo PSanchez CCampos KBermeo A(2018)A Systematic Literature Review on Devices and Systems for Ambient Assisted Living: Solutions and Trends from Different User Perspectives2018 International Conference on eDemocracy & eGovernment (ICEDEG)10.1109/ICEDEG.2018.8372367(59-66)Online publication date: Apr-2018
https://doi.org/10.1109/ICEDEG.2018.8372367
Hamm JMoney AAtwal AParaskevopoulos I(2016)Fall prevention intervention technologiesJournal of Biomedical Informatics10.1016/j.jbi.2015.12.01359:C(319-345)Online publication date: 1-Feb-2016
https://dl.acm.org/doi/10.1016/j.jbi.2015.12.013

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