Title :
An Improved RLS Adaptive Filter Algorithm Used to Process Human Body Balance Signal
Author :
Gui-Qing, Li ; Ji-Mei, Yang ; Xiang-chen, Li
Author_Institution :
Gym Teaching & Res. Sect., Wuhan Inst. of P.E., Wuhan, China
Abstract :
The human body balance measurement and analysis system ask for high precision to the center of gravity. This article in view of noise filter problem, analyze the insufficiency of commonly used data smoothing method and the classics RLS algorithm, proposed one kind of improved RLS adaptive filtering algorithm, the practical application effect is extremely ideal.
Keywords :
adaptive filters; least squares approximations; medical signal processing; signal denoising; smoothing methods; center of gravity; data smoothing method; human body balance analysis system; human body balance measurement; human body balance signal processing; improved RLS adaptive filtering algorithm; noise filter problem; Adaptive filters; Algorithm design and analysis; Correlation; Filtering; Filtering algorithms; Gravity; Noise; Human body balance; adaptive filter; noise filter; track of center of gravity;
Conference_Titel :
Future Computer Science and Education (ICFCSE), 2011 International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4577-1562-4
DOI :
10.1109/ICFCSE.2011.73
