Xsens research

To push further the boundaries of 3D motion tracking and to enable next generation of products, Xsens participates as partner in selected (typically EU funded) research projects.



Project description:
AWESCO (Airborne Wind Energy System Modelling, Control and Optimisation) is a Marie Skłodowska-Curie Initial Training Network funded by the European Union within the Horizon 2020 Framework Programme and by the Swiss federal government. The network connects twelve European academic and industrial partners who have joined forces to collaboratively train young researchers in the area of airborne wind energy. AWESCO was launched in January 2015 with a duration of 4 years with a total funding volume of 3.4 M Euro. The research programme addresses the present key challenges of airborne wind energy technologies with the aim of supporting the commercialisation in Europe.Project website:
KNEEMO is the Initial Training Network (ITN) for knee osteoarthritis research funded through the European Commission’s Framework 7 Programme. It includes 15 research fellows employed at 8 different host institutions.The research theme of the KNEEMO ITN is “towards targeted and tailored interventions for knee osteoarthritis”, and focuses on identifying the right patients for the right treatment at the right time. Research areas include anatomy, musculoskeletal modelling, prevention and early identification of patients, epidemiology, biomechanical mechanisms, and intervention studies. Knee Osteoarthritis (KOA) is the most common chronic musculoskeletal disorder, currently affecting over 8 million people within the EU, for which currently no cure is available. Adverse biomechanics, affected through some of the major health issues of our time (ageing, obesity, sedentary lifestyle) lie at the heart of the disease.Project website:

Published Papers

An overview of published papers using Xsens technology:


Towards ambulatory assessment of spinal loading in the field
Conference Papers, Validation study, Product: MVN BIOMECH
Gert S. Faber, Idsart Kingma and Jaap H. van Dieën
Optimization-Based Sensor Fusion of GNSS and IMU Using a Moving Horizon Approach
Journal Articles, Product: MTi, MTi-G
Fabian Girrbach, Jeroen D. Hol, Giovanni Bellusci and Moritz Diehl
Estimation of Ground Reaction Forces and Moments During Gait Using Only Inertial Motion Capture
Journal Articles, Product: MTw, MVN BIOMECH
Angelos Karatsidis, Giovanni Bellusci, H. Martin Schepers, Mark de Zee, Michael S. Andersen and Peter H. Veltink
Effect of fatigue on basketball three points shot kinematics
Journal Articles, Product: MVN BIOMECH
Jean Slawinski, Julien Poli, Sinisa Karganovic, Charles Khazoom, Daniel Dinu
Incorporation of a Foot-Mounted IMU for Multi-Sensor Pedestrian Navigation
Journal Articles, Product: MTi, MTi-10
Daniel Pierce
A PCA-based bio-motion generatorto synthesize new patterns of humanrunning
Journal Articles, Product: MVN BIOMECH
José María Baydal-Bertomeu, Juan Vicente Durá-Gil, Ana Piérola-Orcero, Eduardo Parrilla Bernabé, Alfredo Ballester and Sandra Alemany-Munt

View all Papers


Mapping, State Estimation, and Navigation for Quadrotors and Human-Worn Sensor Systems
Slawomir Grzonka
PhD Thesis, September 2011 University of Freiburg
Ambulatory Movement Analysis Systems in Clinical Motor Function Assessment – Applications of Inertial Sensors and an Instrumented Force Shoe
J. C. van den Noort
PhD Thesis, October 2011 VU University, Amsterdam
Sensor Fusion and Calibration of Inertial Sensors, Vision, Ultra-Wideband and GPS
J.D. Hol
PhD Thesis, June 2011 Linköping University
View all theses


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