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:
AnDy (Advancing Anticipatory Behaviors in Dyadic Human-Robot Collaboration) is a project funded by the European Union within the Horizon 2020 Research and Innovation Programme. AnDY was launched in January 2017 with a duration of 4 years with a total funding volume of 3.9 M Euro. Recent technological progress in robot physical interaction permitted robots to actively and safely share with humans a common workspace. Leveraging these technologies, AnDy aims at strengthening the European leadership in the robotic market by endowing robots with the ability to control physical collaboration through intentional interaction. AnDy will innovate the way of measuring human whole-body motions developing a wearable force and motion tracking technology (AnDy suit), and proposing technologies to learn cognitive models of human behavior in collaborative tasks (Andy model) and to help humans through predictive physical collaboration (AnDy control). Project website: https://andy-project.eu/
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: http://www.awesco.eu/

Published Papers

An overview of published papers using Xsens technology:


Inertial Measurement Units for Clinical Movement Analysis: Reliability and Concurrent Validity
Journal Articles, Validation study, Product: MVN Analyze
Mohammad Al-Amri, Kevin Nicholas, Kate Button, Alerie Sparkes, Liba Sheeran and Jennifer L Davies
Inertial sensing of the motion speed effect on the sit-to-walk activity
Journal Articles, Product: MVN Analyze
Nikolaos Kondilopoulos, Elissavet N.Rousanoglou & Konstantinos D.Boudolos
Predicting kinetics using musculoskeletal modeling and inertial motion capture
Journal Articles, Product: MVN Analyze, MVN BIOMECH
Angelos Karatsidis, Moonki Jung, H. Martin Schepers, Giovanni Bellusci, Mark de Zee, Peter H. Veltink, Michael Skipper Andersen
A kinematic analysis of ten-pin bowling technique of elite bowlers
Journal Articles, Product: MVN BIOMECH
Kent K. Klitgaard, Christian H. Andersen, Andreas Top Adler and Mark de Zee
Validity of wearable technologies to measure kicking biomechanics
Journal Articles, Product: MVN BIOMECH
Stephanie Blair, Grant Duthie, Sam Robertson and Kevin Ball
A Novel Approach for Generalising Walking Gaits across Embodiments and Behaviours
Journal Articles, Product: MVN BIOMECH
Hsiu-Chin Lin, Matthew Howard, and Sethu Vijayakumar

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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