DocumentCode :
2605691
Title :
Displacement Measurement Algorithm Using Handheld Device with Accelerometer
Author :
Chen, Tianhuang ; Hu, Weiyi ; Sun, Ran
Author_Institution :
Coll. of Comput. Sci. & Technol., Wuhan Univ. of Technol., Wuhan, China
fYear :
2010
fDate :
17-18 April 2010
Firstpage :
122
Lastpage :
126
Abstract :
Analysis a large amounts of data acquired by a accelerometer embeded in a handheld device for figuring out the characteristics of the acceleration samples. In order to get a higher precision result of displacement after twice integration, samples are imposed a series of filtering and amendments on the basisi of the application. While de-noising the noise inducted by the accelerometer infrastructure, a dynamic adjustment mechanism is introduced to adust the filter parameters. That makes the stillness detection algorithm more effective. Experiments show that although the robustness needs to be improved, the algorithm has reached a good accuracy, this research lays a foundation for further study.
Keywords :
accelerometers; displacement measurement; filtering theory; signal denoising; accelerometer; displacement measurement; filter parameters; handheld device; stillness detection algorithm; Acceleration; Accelerometers; Biosensors; Displacement measurement; Handheld computers; Intelligent sensors; Mechanical sensors; Optical sensors; Signal processing algorithms; Tactile sensors; accelerometer; displacement; dynamic adjustment; integration; shimmy; stillness detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wearable Computing Systems (APWCS), 2010 Asia-Pacific Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4244-6467-8
Electronic_ISBN :
978-1-4244-6468-5
Type :
conf
DOI :
10.1109/APWCS.2010.37
Filename :
5481223
Link To Document :
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