DocumentCode
3083896
Title
Gait analysis by using tri-axial accelerometer of smart phones
Author
Guan-Sheng Huang ; Chao-Cheng Wu ; Jiannher Lin
Author_Institution
Dept. of Electr. Eng., Nat. Taipei Univ. of Technol., Taipei, Taiwan
fYear
2012
fDate
17-18 Dec. 2012
Firstpage
29
Lastpage
34
Abstract
Gait has been one of important indicators for healthcare. Traditional methods were often confined in the laboratory and record actions of experimenters by using sophisticated instruments [1]. In 2005, the personal digital assistants (PDAs) is used to measurement and analysis by Mantyjarvi, J. et al.[2]. This manuscript further extends this idea by turning smart phones into gait measurement devices and took advantage of the embedded tri-axial accelerometer as measurement instrument. Three popular signal techniques included the Fourier Transform (FT), Short Time Fourier Transform (STFT), and Hilbert-Huang Transform (HHT) would be deployed to analyze the collected data. The experimental study indicated that HHT provide significant results for gait analysis and further demonstrated the utilities of the proposed methods, which made use of low end smart phone as the gait measurement tool.
Keywords
Fourier transforms; Hilbert transforms; accelerometers; biomedical communication; biomedical equipment; biomedical measurement; gait analysis; health care; medical signal processing; smart phones; HHT; Hilbert-Huang transform; PDA; STFT; embedded triaxial accelerometer; gait analysis; gait measurement devices; gait measurement tool; healthcare; measurement instrument; personal digital assistants; short time Fourier transform; signal techniques; smart phones; Accelerometers; Fourier transforms; Instruments; Signal processing; Smart phones; Surgery; Fourier transform (FT); Gait analysis; Hilbert-Hunag Transform (HHT); Short time Fourier Transform (STFT); Tri-axial accelerometer; smart phone;
fLanguage
English
Publisher
ieee
Conference_Titel
Computerized Healthcare (ICCH), 2012 International Conference on
Conference_Location
Hong Kong
Print_ISBN
978-1-4673-5127-0
Type
conf
DOI
10.1109/ICCH.2012.6724466
Filename
6724466
Link To Document