Optimal Control Simulation of a 2D Biomechanical Model for Sensor-Based Gait Analysis

Nitschke M, Dorschky E, Seifer AK, Schlarb H, van den Bogert AJ, Eskofier B (2018)


Publication Language: English

Publication Type: Conference contribution, Abstract of a poster

Publication year: 2018

Event location: Heidelberg

URI: https://www.mad.tf.fau.de/files/2018/10/2018_09_18_Nitschke_HumansInMotion.pdf

Abstract

Movement analysis is widely used to gain insights into human health and motor control. Especially walking and running are examined in medical diagnostics, rehabilitation and performance assessment in sports. Inertial measurement units (IMUs) enables an ambulatory assessment of kinematics or kinetics. The challenge is to obtain a detailed analysis based on noisy data, sensor drift and a limited number of sensors. Current methods focus on kinematic parameters only or additional sensors had to be applied for kinetic analysis. Alternatively, ground reaction forces had to be estimated.

We propose an optimal control simulation of a 2D musculoskeletal model to simultaneously obtain kinematics and kinetics of the lower body using seven IMUs. The sum of squared differences of measured and simulated inertial data and the neural excitation of the muscles are minimized. This method is evaluated against an optical motion capture method for 2D walking and running.

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How to cite

APA:

Nitschke, M., Dorschky, E., Seifer, A.-K., Schlarb, H., van den Bogert, A.J., & Eskofier, B. (2018, September). Optimal Control Simulation of a 2D Biomechanical Model for Sensor-Based Gait Analysis. Poster presentation at Summer School "Humans in Motion", Heidelberg.

MLA:

Nitschke, Marlies, et al. "Optimal Control Simulation of a 2D Biomechanical Model for Sensor-Based Gait Analysis." Presented at Summer School "Humans in Motion", Heidelberg 2018.

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