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