TY - GEN
T1 - The effectiveness of gait event detection based on absolute shank angular velocity in turning
AU - Sheng, Wentao
AU - Guo, Wei
AU - Zha, Fusheng
AU - Jiang, Zhenyu
AU - Wang, Xin
AU - Zhang, Huaidong
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/7
Y1 - 2019/7
N2 - Heel-strike (HS) and toe-off (TO) events of the human walking are the basis for gait analysis. The gait event detection algorithm is applied in the fields of spatio-temporal parameter analysis, rehabilitation, and wearable auxiliary devices. Based on the shank's absolute angular velocity in the sagittal plane, offline/online detection of HS-TO for normal walking, incline walking and other gaits in sagittal plane can be achieved. This type of detection algorithms assume that the motion occurs only in the sagittal plane, and the motion characteristics of the left and right shanks in one gait cycle are consistent. However, the effectiveness of this type of gait event detection algorithms for the turning gait is unclear. The turning gait in daily life is frequent and inevitable. Ignoring the gait event detection for the turning gait will limit the application of the existing gait event detection algorithms. To this end, this paper compared the degree of symmetry of the absolute angular velocity of the left and right shanks under normal walking and turning gait. The validity of a typical HS-TO detection algorithm based on shank joint angular velocity is analyzed, and the necessity of studying the turning gait event detection algorithm is demonstrated.
AB - Heel-strike (HS) and toe-off (TO) events of the human walking are the basis for gait analysis. The gait event detection algorithm is applied in the fields of spatio-temporal parameter analysis, rehabilitation, and wearable auxiliary devices. Based on the shank's absolute angular velocity in the sagittal plane, offline/online detection of HS-TO for normal walking, incline walking and other gaits in sagittal plane can be achieved. This type of detection algorithms assume that the motion occurs only in the sagittal plane, and the motion characteristics of the left and right shanks in one gait cycle are consistent. However, the effectiveness of this type of gait event detection algorithms for the turning gait is unclear. The turning gait in daily life is frequent and inevitable. Ignoring the gait event detection for the turning gait will limit the application of the existing gait event detection algorithms. To this end, this paper compared the degree of symmetry of the absolute angular velocity of the left and right shanks under normal walking and turning gait. The validity of a typical HS-TO detection algorithm based on shank joint angular velocity is analyzed, and the necessity of studying the turning gait event detection algorithm is demonstrated.
UR - https://www.scopus.com/pages/publications/85073190817
U2 - 10.1109/ICARM.2019.8834082
DO - 10.1109/ICARM.2019.8834082
M3 - 会议稿件
AN - SCOPUS:85073190817
T3 - 2019 4th IEEE International Conference on Advanced Robotics and Mechatronics, ICARM 2019
SP - 899
EP - 904
BT - 2019 4th IEEE International Conference on Advanced Robotics and Mechatronics, ICARM 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th IEEE International Conference on Advanced Robotics and Mechatronics, ICARM 2019
Y2 - 3 July 2019 through 5 July 2019
ER -