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Research

 

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.

 

Collaboration

Collaboration:
Partners:
Project description:
AnDy
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
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:

 

An accurate estimation of the horizontal acceleration of a rower’s centre of mass using inertial sensors: a validation
Journal Articles, Product: MVN Analyze, MVN BIOMECH
Lotte L. Lintmeijer, Gert S. Faber, Hessel R. Kruk, A. J. “Knoek” van Soest & Mathijs J. Hofmijster
DOI: 10.1080/17461391.2018.1465126
Improved determination of mechanical power output in rowing: Experimental results
Journal Articles, Product: MVN Analyze, MVN BIOMECH
Lotte L. Lintmeijer, Mathijs J. Hofmijster, Guido A. Schulte Fischedick, Patrick J. Zijlstra & A. J. “Knoek” Van Soest
Inertial Sensor Measurements of Upper-Limb Kinematics in Stroke Patients in Clinic and Home Environment
Journal Articles, Product: MVN Analyze
Jeremia P. O. Held, Bart Klaassen, Albert Eenhoorn, Bert-Jan F. van Beijnum, Jaap H. Buurke, Peter H. Veltink and Andreas R. Luft
Front....
Postural reconfiguration and cycle-to-cycle variability in patients with work-related musculoskeletal disorders compared to healthy controls and in relation to pain emerging during a repetitive movement task
Journal Articles, Product: MVN Analyze, MVN BIOMECH
Alessia Longo, Ruud Meulenbroek, Thomas Haid, Peter Andreas Federolf
DOI10.1016/j.clinbiomech.2018.03.004
Estimation of Vertical Ground Reaction Forces and Sagittal Knee Kinematics During Running Using Three Inertial Sensors
Journal Articles, Product: MTx
Frank J. Wouda, Matteo Giuberti, Giovanni Bellusci, Erik Maartens, Jasper Reenalda, Bert-Jan F. van Beijnum and Peter H. Veltink
https://doi.org/10.3389/fphys.2018.00218
Concurrent validation of an inertial measurement system to quantify kicking biomechanics in four football codes
Journal Articles, Validation study, Product: MVN BIOMECH, Xsens MVN
Stephanie Blair, Grant Duthie, Sam Robertson, William Hopkins, Kevin Ball
DOI: https://doi.org/10.1016/j.jbiomech.2018.03.031

View all Papers

Theses

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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