A Wearable Fall Detection System Based on Body Area Networks | IEEE Journals & Magazine | IEEE Xplore

A Wearable Fall Detection System Based on Body Area Networks


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A wearable fall detection system based on body area networks. This proposed prototype includes physical and medical sensors which facilitate a more reliable fall detectio...

Abstract:

Falls can have serious consequences for people, leading to restrictions in mobility or, in the worst case, to traumatic-based cases of death. To provide rapid assistance,...Show More

Abstract:

Falls can have serious consequences for people, leading to restrictions in mobility or, in the worst case, to traumatic-based cases of death. To provide rapid assistance, a portable fall detection system has been developed that is capable of detecting fall situations and, if necessary, alerting emergency services without any user interaction. The prototype is designed to facilitate reliable fall detection and to classify several fall types and human activities. This solution represents a life-saving service for every person that will significantly improve assistance in the case of fall events, which are a part of daily life. Additionally, this approach facilitates independent system operation, since the system does not depend on sensor or network units located within a building structure. This article also introduces fall analysis. To guarantee functional safety, a hazard analysis method named system-theoretic accident model and processes (STAMP) is applied.
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A wearable fall detection system based on body area networks. This proposed prototype includes physical and medical sensors which facilitate a more reliable fall detectio...
Published in: IEEE Access ( Volume: 8)
Page(s): 193060 - 193074
Date of Publication: 20 October 2020
Electronic ISSN: 2169-3536

Funding Agency:


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