Abstract
Inertial measurement unit systems are wearable sensors that can measure the movement of a human in real-time with relatively little space and high portability. The purpose of this study was to investigate the accuracy of the inertial measurement unit (IMU) system for gait analysis by comparing it with measurements obtained using an optical motion capture (OMC) system. To compare the accuracies of these two different motion capture systems, the Spatio-temporal and kinematic parameters were measured in young adults during normal walking. Thirty healthy participants participated in the study. Data were collected while walking 5 strides on a 7 m walkway at a self-selected speed. Results of gait analysis showed that the Spatio-temporal (stride time, stride length, cadence, step length) and kinematic (knee joint peak to peak of movement) parameters were not significantly different in the participant. Spatio-temporal and kinematic parameters of the two systems were compared using the Bland–Altman method. The results obtained showed that the measurements of Spatio-temporal and kinematic parameters of gait by the two systems were similar, which suggested that IMU and OMC systems could be used interchangeably for gait measurements. Therefore, gait analysis performed using the wearable IMU system might efficiently provide gait measurements and enable accurate analysis.
Highlights
Walking involves moving the body safely from one point to another through repeated, alternating movements of the lower extremities [1]
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Summary
Walking involves moving the body safely from one point to another through repeated, alternating movements of the lower extremities [1]. The walking, which shows an automated movement pattern, is a combination of coordination and muscular activities and biomechanical forces [3]. Muscular weakness, loss of sensation, severe pain, and motor control dysfunctions can impair gait function, and, importantly, patterns of gait disturbance indicate the patients’ problems and guide therapeutic intervention [5]. Gait analysis can objectively and quantitatively evaluate gait patterns associated with the functional limitations of individuals with a disability, and evaluations of Spatio-temporal gait parameters provide the most efficient means of gait and predicting fall risk [6,7].
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