Development of an affordable and easy-to-install fall detection system

Jörg Güttler, Andreas Bittner, Katharina Langosch, Thomas Bock, Yasue Mitsukura

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Falling, especially in old age, is a serious health threat. Depending on the severity of such accidents, risk of injury, and the helpless state of the elderly and infirm persons, it is difficult to impossible for the concerned persons to call for help. This kind of situation and its associated perceptions already cause anxiety. There is, therefore, much interest in fall detection for persons in need of care and caregivers as these systems promise security and help when needed, and they also provide a feeling of safety. However, modern fall detection systems are mostly wearables or are expensive in their implementation. As such, this paper focuses on a novel approach to fall detection, developed in two iterative main cycles and finally implemented in a real apartment for testing purposes. The proposed fall detection aims to be installed into the baseboard of a room, which allows an easy and cost-effective integration of the proposed system. Especially in rooms like the bathroom, where discretion is very important, the proposed system benefits from its use of light barriers instead of image recognition to identify a fallen person. Additionally, the collected data can be wirelessly transmitted to a server via a gateway using XBee modules and Wi-Fi. The latest developments of the fall detection prototype, including the hardware and software implementation, will be presented in this paper, and its strength and weak points will also be discussed.

Original languageEnglish
JournalIEEJ Transactions on Electrical and Electronic Engineering
DOIs
Publication statusAccepted/In press - 2018 Jan 1

Fingerprint

Image recognition
Gateways (computer networks)
Security systems
Accidents
Servers
Health
Hardware
Testing
Costs

Keywords

  • Arduino
  • Digispark
  • Fall detection
  • IC bus
  • Wireless communication

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Development of an affordable and easy-to-install fall detection system. / Güttler, Jörg; Bittner, Andreas; Langosch, Katharina; Bock, Thomas; Mitsukura, Yasue.

In: IEEJ Transactions on Electrical and Electronic Engineering, 01.01.2018.

Research output: Contribution to journalArticle

@article{268eda70e02042b9a673a523babe77f2,
title = "Development of an affordable and easy-to-install fall detection system",
abstract = "Falling, especially in old age, is a serious health threat. Depending on the severity of such accidents, risk of injury, and the helpless state of the elderly and infirm persons, it is difficult to impossible for the concerned persons to call for help. This kind of situation and its associated perceptions already cause anxiety. There is, therefore, much interest in fall detection for persons in need of care and caregivers as these systems promise security and help when needed, and they also provide a feeling of safety. However, modern fall detection systems are mostly wearables or are expensive in their implementation. As such, this paper focuses on a novel approach to fall detection, developed in two iterative main cycles and finally implemented in a real apartment for testing purposes. The proposed fall detection aims to be installed into the baseboard of a room, which allows an easy and cost-effective integration of the proposed system. Especially in rooms like the bathroom, where discretion is very important, the proposed system benefits from its use of light barriers instead of image recognition to identify a fallen person. Additionally, the collected data can be wirelessly transmitted to a server via a gateway using XBee modules and Wi-Fi. The latest developments of the fall detection prototype, including the hardware and software implementation, will be presented in this paper, and its strength and weak points will also be discussed.",
keywords = "Arduino, Digispark, Fall detection, IC bus, Wireless communication",
author = "J{\"o}rg G{\"u}ttler and Andreas Bittner and Katharina Langosch and Thomas Bock and Yasue Mitsukura",
year = "2018",
month = "1",
day = "1",
doi = "10.1002/tee.22648",
language = "English",
journal = "IEEJ Transactions on Electrical and Electronic Engineering",
issn = "1931-4973",
publisher = "John Wiley and Sons Inc.",

}

TY - JOUR

T1 - Development of an affordable and easy-to-install fall detection system

AU - Güttler, Jörg

AU - Bittner, Andreas

AU - Langosch, Katharina

AU - Bock, Thomas

AU - Mitsukura, Yasue

PY - 2018/1/1

Y1 - 2018/1/1

N2 - Falling, especially in old age, is a serious health threat. Depending on the severity of such accidents, risk of injury, and the helpless state of the elderly and infirm persons, it is difficult to impossible for the concerned persons to call for help. This kind of situation and its associated perceptions already cause anxiety. There is, therefore, much interest in fall detection for persons in need of care and caregivers as these systems promise security and help when needed, and they also provide a feeling of safety. However, modern fall detection systems are mostly wearables or are expensive in their implementation. As such, this paper focuses on a novel approach to fall detection, developed in two iterative main cycles and finally implemented in a real apartment for testing purposes. The proposed fall detection aims to be installed into the baseboard of a room, which allows an easy and cost-effective integration of the proposed system. Especially in rooms like the bathroom, where discretion is very important, the proposed system benefits from its use of light barriers instead of image recognition to identify a fallen person. Additionally, the collected data can be wirelessly transmitted to a server via a gateway using XBee modules and Wi-Fi. The latest developments of the fall detection prototype, including the hardware and software implementation, will be presented in this paper, and its strength and weak points will also be discussed.

AB - Falling, especially in old age, is a serious health threat. Depending on the severity of such accidents, risk of injury, and the helpless state of the elderly and infirm persons, it is difficult to impossible for the concerned persons to call for help. This kind of situation and its associated perceptions already cause anxiety. There is, therefore, much interest in fall detection for persons in need of care and caregivers as these systems promise security and help when needed, and they also provide a feeling of safety. However, modern fall detection systems are mostly wearables or are expensive in their implementation. As such, this paper focuses on a novel approach to fall detection, developed in two iterative main cycles and finally implemented in a real apartment for testing purposes. The proposed fall detection aims to be installed into the baseboard of a room, which allows an easy and cost-effective integration of the proposed system. Especially in rooms like the bathroom, where discretion is very important, the proposed system benefits from its use of light barriers instead of image recognition to identify a fallen person. Additionally, the collected data can be wirelessly transmitted to a server via a gateway using XBee modules and Wi-Fi. The latest developments of the fall detection prototype, including the hardware and software implementation, will be presented in this paper, and its strength and weak points will also be discussed.

KW - Arduino

KW - Digispark

KW - Fall detection

KW - IC bus

KW - Wireless communication

UR - http://www.scopus.com/inward/record.url?scp=85041522558&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85041522558&partnerID=8YFLogxK

U2 - 10.1002/tee.22648

DO - 10.1002/tee.22648

M3 - Article

JO - IEEJ Transactions on Electrical and Electronic Engineering

JF - IEEJ Transactions on Electrical and Electronic Engineering

SN - 1931-4973

ER -