TY - GEN
T1 - Gait analysis by using tri-axial accelerometer of smart phones
AU - Huang, Guan Sheng
AU - Wu, Chao Cheng
AU - Lin, Jiannher
PY - 2012/1/1
Y1 - 2012/1/1
N2 - 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.
AB - 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.
KW - Fourier transform (FT)
KW - Gait analysis
KW - Hilbert-Hunag Transform (HHT)
KW - Short time Fourier Transform (STFT)
KW - smart phone
KW - Tri-axial accelerometer
UR - http://www.scopus.com/inward/record.url?scp=84894192320&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84894192320&partnerID=8YFLogxK
U2 - 10.1109/ICCH.2012.6724466
DO - 10.1109/ICCH.2012.6724466
M3 - Conference contribution
AN - SCOPUS:84894192320
SN - 9781467351294
T3 - ICCH 2012 Proceedings - International Conference on Computerized Healthcare
SP - 29
EP - 34
BT - ICCH 2012 Proceedings - International Conference on Computerized Healthcare
PB - IEEE Computer Society
T2 - 2012 International Conference on Computerized Healthcare, ICCH 2012
Y2 - 17 December 2012 through 18 December 2012
ER -