Gait event detection algorithm based on smart insoles

被引:22
作者
Kim, JeongKyun [1 ,2 ]
Bae, Myung-Nam [2 ]
Lee, Kang Bok [2 ]
Hong, Sang Gi [1 ,2 ]
机构
[1] Univ Sci & Technol, Sch Comp Software, ICT, Daejeon, South Korea
[2] Elect & Telecommun Res Inst, Intelligent Convergence Res Lab, Daejeon, South Korea
关键词
gait analysis; heel-strike detection; smart insole; time-frequency analysis; toe-off detection; INERTIAL SENSORS; MOTION CAPTURE; PARAMETERS; TREADMILL; MOVEMENT; WALKING; VARIABILITY; PATTERNS; SELF;
D O I
10.4218/etrij.2018-0639
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Gait analysis is an effective clinical tool across a wide range of applications. Recently, inertial measurement units have been extensively utilized for gait analysis. Effective gait analyses require good estimates of heel-strike and toe-off events. Previous studies have focused on the effective device position and type of triaxis direction to detect gait events. This study proposes an effective heel-strike and toe-off detection algorithm using a smart insole with inertial measurement units. This method detects heel-strike and toe-off events through a time-frequency analysis by limiting the range. To assess its performance, gait data for seven healthy male subjects during walking and running were acquired. The proposed heel-strike and toe-off detection algorithm yielded the largest error of 0.03 seconds for running toe-off events, and an average of 0-0.01 seconds for other gait tests. Novel gait analyses could be conducted without suffering from space limitations because gait parameters such as the cadence, stance phase time, swing phase time, single-support time, and double-support time can all be estimated using the proposed heel-strike and toe-off detection algorithm.
引用
收藏
页码:46 / 53
页数:8
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