TY - JOUR
T1 - Estimation of foot trajectory during human walking by a wearable inertial measurement unit mounted to the foot
AU - Kitagawa, Naoki
AU - Ogihara, Naomichi
N1 - Funding Information:
This work was supported by JKA and its promotion funds from KEIRIN RACE. The authors also wish to express their sincere gratitude to Shumpei Maeda (Keio University) for his assistance throughout the course of the present study, and two anonymous reviewers for their constructive and thoughtful comments.
Publisher Copyright:
© 2016 Elsevier B.V..
PY - 2016/3/1
Y1 - 2016/3/1
N2 - To establish a supportive technology for reducing the risk of falling in older people, it is essential to clarify gait characteristics in elderly individuals that are possibly linked to the risk of falling during actual daily activities. In this study, we developed a system to monitor human gait in an outdoor environment using an inertial measurement unit consisting of a tri-axial accelerometer and tri-axial gyroscope. Step-by-step foot trajectories were estimated from the sensor unit attached to the dorsum of the foot. Specifically, stride length and foot clearance were calculated by integrating the gravity-compensated translational acceleration over time during the swing phase. Zero vertical velocity and displacement corrections were applied to obtain the final trajectory, assuming the slope of the walking surface is negligible. Short, normal, and long stride-length walking of 10 healthy participants was simultaneously measured using the proposed system and a conventional motion capture system to evaluate the accuracy of the estimated foot trajectory. Mean accuracy and precision were approximately 20 ± 50 mm, for stride length, and 2 ± 7 mm for foot clearance, indicating that the swing phase trajectory of the sensor unit attached to the foot was reconstructed more accurately and precisely using the proposed system than with previously published methods owing to the flat floor assumption. Although some methodological limitations certainly apply, this system will serve as a useful tool to monitor human walking during daily activities.
AB - To establish a supportive technology for reducing the risk of falling in older people, it is essential to clarify gait characteristics in elderly individuals that are possibly linked to the risk of falling during actual daily activities. In this study, we developed a system to monitor human gait in an outdoor environment using an inertial measurement unit consisting of a tri-axial accelerometer and tri-axial gyroscope. Step-by-step foot trajectories were estimated from the sensor unit attached to the dorsum of the foot. Specifically, stride length and foot clearance were calculated by integrating the gravity-compensated translational acceleration over time during the swing phase. Zero vertical velocity and displacement corrections were applied to obtain the final trajectory, assuming the slope of the walking surface is negligible. Short, normal, and long stride-length walking of 10 healthy participants was simultaneously measured using the proposed system and a conventional motion capture system to evaluate the accuracy of the estimated foot trajectory. Mean accuracy and precision were approximately 20 ± 50 mm, for stride length, and 2 ± 7 mm for foot clearance, indicating that the swing phase trajectory of the sensor unit attached to the foot was reconstructed more accurately and precisely using the proposed system than with previously published methods owing to the flat floor assumption. Although some methodological limitations certainly apply, this system will serve as a useful tool to monitor human walking during daily activities.
KW - Foot clearance
KW - Gait analysis
KW - Inertial sensor
KW - Outdoor environment
KW - Step length
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U2 - 10.1016/j.gaitpost.2016.01.014
DO - 10.1016/j.gaitpost.2016.01.014
M3 - Article
C2 - 26979891
AN - SCOPUS:84960349641
SN - 0966-6362
VL - 45
SP - 110
EP - 114
JO - Gait and Posture
JF - Gait and Posture
ER -