Estimation of Spatio-temporal Parameters of Gait Using an Inertial Sensor Network

0Citations
Citations of this article
2Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Gait analysis is clinically used as a diagnostic tool to quantify gait issues associated with neuromuscular or locomotion disorders. The variability of different spatio-temporal parameters during the gait cycles provides clinical information related to state of patients and the progress of certain diseases. Usually, gait analysis based on spatio-temporal parameters requires costly-instrumented walkways and video-based motion capture systems, which are only available in specialized clinical scenarios. Hence, Inertial sensors-based gait analysis has been proposed with promising results, but it is still considered a challenging task. In this paper, a novel method for estimating spatio-temporal parameters of gait by using an inertial sensor network is proposed. For doing that, a set of 7 inertial sensors are setting into a biomechanical model to capture both position and rotation of body segments of lower limbs. Then, gait cycles are segmented by including information from angles of the hip, knee and ankle joints, respectively. So, a quaternion-based motion analysis is carried out for defining gait phases by detecting gait events. The proposed method was validated using a camera-based motion system, respectively. The obtained results demonstrate that the estimated spatio-temporal parameters are equal to the expected values obtained by camera motion system widely used in real clinical scenarios. Therefore, the proposed method could be used in clinical applications.

Cite

CITATION STYLE

APA

Bosmediano, M., & Narváez, F. (2020). Estimation of Spatio-temporal Parameters of Gait Using an Inertial Sensor Network. In Communications in Computer and Information Science (Vol. 1154 CCIS, pp. 337–350). Springer. https://doi.org/10.1007/978-3-030-46785-2_27

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free