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Publication Detailed Description
A real-time algorithm to detect falls in the elderly
13th IEEE International Symposium on Medical Measurements and Applications, MeMeA 2018
Year (definitive publication)
2018
Language
English
Country
Italy
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Abstract
Falls in the elderly are a major health and economic problem. Hence, reliable fall detection is of great importance. Many fall detection systems have been developed but this topic is still under reach. In this work, a smart sensor based on a tri-axial digital accelerometer and a microcontroller Wi-Fi module are used to detect changes in acceleration that occur when a human being is falling. A novel real-time algorithm to distinguish between falls and daily activities is proposed. The prototype can easily connect to the internet of things thus expanding its applications. The experimental results have demonstrated high sensitivity and specificity on human fall detection.
Acknowledgements
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Keywords
Accelerometer,Elderly home care,Fall detector,Motion detection analysis,Pattern recognition
Fields of Science and Technology Classification
- Computer and Information Sciences - Natural Sciences
- Electrical Engineering, Electronic Engineering, Information Engineering - Engineering and Technology
- Medical Engineering - Engineering and Technology
Funding Records
| Funding Reference | Funding Entity |
|---|---|
| UID/EEA/50008/2013 | Fundação para a Ciência e a Tecnologia |
