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:

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:


TRAX is an International Training Network (ITN) research project sponsored by the EU under the Marie Curie actions in the 7th Framework Program. TRAX concentrates on Tracking in Complex Sensor Systems, focusing on complexities due to large volumes of data, complex object dynamics and measurement models, as well as large scale systems. The project starts October 1st 2013 and will run 4 years.
Project website:

Published Papers

“To Hit, or Not to Hit?” Examining the Similarity Between Practice and Real Swings in Golf
Journal Articles, Product: MVN BIOMECH
Carson, H.-J.; Collins, D.; Richards, J.
Lumbopelvic rhythm during forward and backward sagittal trunk rotations: combined in vivo measurement with inertial tracking device and biomechanical modeling
Journal Articles, Product: MTx, Xbus Kit
Tafazzol A, Arjmand N, Shirazi-Adl A, Parnianpour M
Post-trial anatomical frame alignment procedure for comparison of 3D joint angle measurement from magnetic/inertial measurement units and camera-based systems
Journal Articles, Product: MVN BIOMECH
Qingguo Li and Jun-Tian Zhang
IMU-Based Joint Angle Measurement for Gait Analysis
Journal Articles, Product: MTw
Thomas Seel, Jorg Raisch and Thomas Schauer
Mapping indoor environments based on human activity
Journal Articles, Product: MVN BIOMECH
Grzonka, S.; Dijoux, F.; Karwath, A.; Burgard, W.
Gelotophobia and the challenges of implementing laughter into virtual agents interactions.
Journal Articles, Product: MVN BIOMECH
Ruch WF, Platt T, Hofmann J, Niewiadomski R, Urbain J, Mancini M and Dupont S (2014)

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