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  4. Comparison and validation of capacitive accelerometers for health care applications
 
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Comparison and validation of capacitive accelerometers for health care applications

Publikationstyp
Journal Article
Date Issued
2011-12-05
Sprache
English
Author(s)
Büsching, Felix  
Kulau, Ulf  
Gietzelt, Matthias  
Wolf, Lars  
TORE-URI
http://hdl.handle.net/11420/11013
Journal
Computer methods and programs in biomedicine  
Volume
106
Issue
2
Start Page
79
End Page
88
Citation
Computer Methods and Programs in Biomedicine 106 (2): 79-88 (2012-05-01)
Publisher DOI
10.1016/j.cmpb.2011.10.009
Scopus ID
2-s2.0-84859361551
PubMed ID
22153570
Publisher
Elsevier
Fall detection, gait analysis and context recognition are examples of applications where capacitive accelerometers are widely used in health care. In most of the existing work, algorithms were developed for a specific platform and accelerometers were used without explicitly choosing a specific type. With this work we present an inexpensive and practical test setup for replicable and repeatable testing of accelerometers. In addition we use this setup to evaluate six of the most commonly available accelerometers today and list their outcomes for linearity, power consumption and correlation of the tested sensors. We also attempt to an answer to the question of whether applications and algorithms developed for one platform and one type of accelerometer can be easily transferred to another accelerometer.
Subjects
Accelerometer
Activity monitoring
Evaluation
Fall detection
Gait analysis
Wireless sensor networks
DDC Class
004: Informatik
600: Technik
More Funding Information
The Lower Saxony research network “Design of Environments for Ageing” acknowledges the support of the Lower Saxony Ministry of Science and Culture through the “Niedersächsisches Vorab” grant programme (grant ZN 2701 ).
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