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IFIP12
2007

Patient Fall Detection using Support Vector Machines

10 years 4 months ago
Patient Fall Detection using Support Vector Machines
This paper presents a novel implementation of a patient fall detection system that may be used for patient activity recognition and emergency treatment. Sensors equipped with accelerometers are attached on the body of the patients and transmit patient movement data wirelessly to the monitoring unit. The methodology of support Vector Machines is used for precise classification of the acquired data and determination of a fall emergency event. Then a context-aware server transmits video from patient site properly coded according to both patient and network status. Evaluation results indicate the high accuracy of the classification method and the effectiveness of the proposed implementation.
Charalampos Doukas, Ilias Maglogiannis, Philippos
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2007
Where IFIP12
Authors Charalampos Doukas, Ilias Maglogiannis, Philippos Tragas, Dimitris Liapis, Gregory S. Yovanof
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