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

Beitrag bei einer Tagung
(Abstract zum Poster)


Details zur Publikation

Autor(en): Nitschke M, Dorschky E, Seifer AK, Schlarb H, van den Bogert AJ, Eskofier B
Jahr der Veröffentlichung: 2018
Sprache: Englisch


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.


FAU-Autoren / FAU-Herausgeber

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)


Autor(en) der externen Einrichtung(en)
Adidas AG
Cleveland State University


Zitierweisen

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.

BibTeX: 

Zuletzt aktualisiert 2018-05-10 um 11:46