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http://dx.doi.org/10.5573/ieie.2017.54.5.109

Analysis of Personal Gait Characteristics According to Legs Imbalance Gait  

Cho, Woo-Hyeong (Dept. of Electronic, Computer Information Engineering, Inha University)
Kim, Yeon-Wook (Dept. of Electronic, Computer Information Engineering, Inha University)
Kwon, Jang-Woo (Dept. of Electronic, Computer Information Engineering, Inha University)
Lee, Sangmin (Dept. of Electronic, Computer Information Engineering, Inha University)
Publication Information
Journal of the Institute of Electronics and Information Engineers / v.54, no.5, 2017 , pp. 109-119 More about this Journal
Abstract
In the present study, to determine walking imbalance using the walking analysis method, where limitations in the existing walking analysis have been minimized, we propose a new walking analysis method that adopts the following: self-developed equipment to measure the angles of left-right hip joints and knee joints; a determination system using symmetry index (SI); and dynamic time warping (DTW) similarity analysis algorithm to analyze individual walking styles. Normal and imbalanced walking tests were conducted for 12 subjects without walking disorder. From the SI calculation to determine imbalanced walking, both the normal and imbalanced walking styles can be determined using the angle measurements of the left-right hip joints and knee joints. In the analysis of the individual walking styles, the similarities at the center of the lower back, left-right thighs, and dorsum of the feet of the 12 subjects in both normal and imbalanced walking cases were compared. From the similarity analysis of the measured values during the normal and imbalanced walking tests, I determined that the walking pattern does not maintain the same stance when the body parts move during walking.
Keywords
imbalance gait; gait analysis; encoder; SI(symmetry index); DTW(dynamic time warping);
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