RT Journal Article
A1 Habib Masum
AD Aerospace Engineering and Applied Mechanics Department, Indian Institute of Engineering Science and Technology (IIEST), Shibpur, Howrah, India
A1 Surajit Chattopadhyay
AD Department of Electrical Engineering, Ghani Khan Choudhury Institute of Engineering and Technology (GKCIET), Malda, W.B., India
A1 Subhasis Bhaumik
AD Aerospace Engineering and Applied Mechanics Department, Indian Institute of Engineering Science and Technology (IIEST), Shibpur, Howrah, India
A1 Ranjit Ray
AD Robotics and Automation Group, CSIR-Central Mechanical Engineering Research Institute, Durgapur, India

PB iet
T1 Utilisation of skewness of wavelet-based approximate coefficient in walking speed assessment
JN IET Science, Measurement & Technology
VO 10
IS 8
SP 977
OP 982
AB This study explores wavelet decomposition based skewness analysis for walking speed assessment. This has been achieved by using four force sensing resistors attached beneath the foot and one flex sensor attached on ankle. Experimentation is carried out on walking pattern of able individuals and data are collected using data acquiescing set-up and de-noised using Savitzky–Golay filter. De-noised data are then decomposed at different discrete wavelet transform (DWT) levels from where skewness values of approximate coefficient are assessed. Variation of skewness with respect to walking speed has been observed which shows that skewness values are having definite relations with walking speeds at certain DWT levels. Based on these, an algorithm is proposed for walking speed assessment. Experimentation is again carried out to validate the proposed algorithm. Satisfactory result is achieved indicating that assessment of wavelet decomposition based skewness of approximate coefficients may be very useful for walking speed measurement.
K1 foot sensor
K1 four force sensing resistor
K1 wavelet decomposition
K1 skewness utilisation analysis
K1 walking speed measurement
K1 flex sensor
K1 wavelet-based approximate coefficient
K1 discrete wavelet transform
K1 Savitzky-Golay filter
K1 walking speed assessment
K1 DWT
K1 data acquisition
K1 denoised data collection
DO https://doi.org/10.1049/iet-smt.2016.0263
UL https://digital-library.theiet.org/;jsessionid=2e87r4530kkcj.x-iet-live-01content/journals/10.1049/iet-smt.2016.0263
LA English
SN 1751-8822
YR 2016
OL EN