Estimation of Gait Kinematics and Kinetics from Inertial Sensor Data Using Optimal Control of Musculoskeletal Models

Journal article
(Original article)


Publication Details

Author(s): Dorschky E, Nitschke M, Seifer AK, van den Bogert AJ, Eskofier B
Journal: Journal of Biomechanics
Publication year: 2019
ISSN: 0021-9290
Language: English


Abstract

Inertial sensing enables field studies of human movement and ambulant assessment of patients. However, the challenge is to obtain a comprehensive analysis from low-quality data and sparse measurements. In this paper, we present a method to estimate gait kinematics and kinetics directly from raw inertial sensor data performing a single dynamic optimization. We formulated an optimal control problem to track accelerometer and gyroscope data with a planar musculoskeletal model. In addition, we minimized muscular effort to ensure a unique solution and to prevent the model from tracking noisy measurements too closely. For evaluation, we recorded data of ten subjects walking and running at six different speeds using seven inertial measurement units (IMUs). Results were compared to a conventional analysis using optical motion capture and a force plate. High correlations were achieved for gait kinematics (ρ ≥ 0.93) and kinetics (ρ ≥ 0.90). In contrast to existing IMU processing methods, a dynamically consistent simulation was obtained and we were able to estimate running kinetics. Besides kinematics and kinetics, further metrics such as muscle activations and metabolic cost can be directly obtained from simulated model movements. In summary, the method is insensitive to sensor noise and drift and provides a detailed analysis solely based on inertial sensor data.


FAU Authors / FAU Editors

Dorschky, Eva
Lehrstuhl für Informatik 14 (Maschinelles Lernen und Datenanalytik)
Eskofier, Björn Prof. Dr.
Lehrstuhl für Informatik 14 (Maschinelles Lernen und Datenanalytik)
Nitschke, Marlies
Lehrstuhl für Informatik 14 (Maschinelles Lernen und Datenanalytik)


External institutions with authors

Cleveland State University


How to cite

APA:
Dorschky, E., Nitschke, M., Seifer, A.-K., van den Bogert, A.J., & Eskofier, B. (2019). Estimation of Gait Kinematics and Kinetics from Inertial Sensor Data Using Optimal Control of Musculoskeletal Models. Journal of Biomechanics. https://dx.doi.org/10.1016/j.jbiomech.2019.07.022

MLA:
Dorschky, Eva, et al. "Estimation of Gait Kinematics and Kinetics from Inertial Sensor Data Using Optimal Control of Musculoskeletal Models." Journal of Biomechanics (2019).

BibTeX: 

Last updated on 2019-20-08 at 12:48