Pose orientation analysis for fall detection using non-invasive technologies

Older adults are more susceptible to falling which can cause serious health problems due to their frail bodies, dizziness, and other common health problems common for this age group. Fall detection systems can have a significant impact on this issue, potentially saving lives, mainly due to the under...

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Veröffentlicht in:International Conference on Control Systems and Computer Science (Online) S. 538 - 543
Hauptverfasser: Dutescu, Razvan-Alexandru, Apostol, Mihai
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.05.2023
Schlagworte:
Blob analysis
Eldercare
Fall detection
Fall detection algorithm
Internet of Things
Older adults
Pipelines
Pose estimation
Reliability
Sensor systems
Sociology
Thermal sensors
ISSN:2379-0482
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Zusammenfassung:Older adults are more susceptible to falling which can cause serious health problems due to their frail bodies, dizziness, and other common health problems common for this age group. Fall detection systems can have a significant impact on this issue, potentially saving lives, mainly due to the underlying fall detection algorithm which is indispensable for the system's primary function. In this article, we propose a threshold-based fall detection algorithm that is the crux of a finite automaton intended for non-invasive sensor-based fall detection systems, especially radar-type sensors. Furthermore, we will be discussing similar algorithms to get a better understanding of the performance of our algorithm.
ISSN:2379-0482
DOI:10.1109/CSCS59211.2023.00091