Olympic and World Champion speed skating Ireen Wüst

Olympic and World Champion speed skating Ireen Wüst

Xsens research

Xsens continuously invests in R&D to further push the boundaries of 3D tracking and to enable the next generation of products to serve its customers. Next to its corporate research Xsens also participates as a partner in selected (international) research project.

Xsens R&D

The majority of Xsens R&D output is eventually released as a product, from which our customers create ranges of publications. Some work however is more directed to explore the boundaries of current products and results in prototypes and concepts not (yet) available as commercial products, but inspiring and fun to share!

After the click you will find Prototypes and Advanced concept tests for:


  • Wearable gait lab (ForceShoe)
    Xsens and the University of Twente partner to demonstrate the possibilities of a wearable gait lab
  • Combining Xsens MVN and LPM data
    For speed skating
  • Combining Xsens MVN and GPS data
    For skiing
    For driving a car


Click here to find out more


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

Continuous three dimensional analysis of running mechanics during a marathon by means of inertial magnetic measurement units to objectify changes in running mechanics.
Journal Articles, Product: MTw
Reenalda J, Maartens E, Homan L, Buurke JH.
An Analysis on Sensor Locations of the Human Body for Wearable Fall Detection Devices: Principles and Practice
Journal Articles, Product: MTw
Ahmet Turan Özdemir
Detecting Falls with Wearable Sensors Using Machine Learning Techniques
Journal Articles, Product: MTw
Ahmet Turan Özdemir and Billur Barshan
Navigate into Danger
Journal Articles, Product: MTi-10
Joakim Rydell, Erika Bilock, and Håkan Larsson
Design and Implementation of Seabee: the University of Southern California’s Autonomous Underwater Vehicle
Journal Articles, Product: MTi-10, MTi-100
Travis Mendoza, Jessica Freidin, Michael Kukar, and Ben Shiroma
Accuracy of postural human-motion tracking using miniature inertial sensors
Journal Articles, Validation study, Product: MVN BIOMECH
Daniel Dinu, Martin Fayolas, Marine Jacquet, Elsa Leguy, Jean Slavinski, Nicolas Houel

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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