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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 innovative MIMU-based procedure for the estimate of the knee flexion-extension angle
Journal Articles, Product: MTw
Marco Caruso, Marco Knaflitz and Andrea Cereatti
Investigation of methods for quantifying sitting postures in cars
Journal Articles, Product: MVN Analyze
Mathilda Janson and Jessica Wedmark
A...
Multicontact Interaction Force Sensing From Whole-Body Motion Capture
Journal Articles, Product: MVN Analyze, MVN BIOMECH
Tu-Hoa Pham , Stephane Caron and Abderrahmane Kheddar
IEEE...
Anticipatory Robot Assistance for the Prevention of Human Static Joint Overloading in Human–Robot Collaboration
Journal Articles, Product: MVN Analyze
Wansoo Kim, Jinoh Lee, Luka Peternel, Nikolaos G. Tsagarakis, Arash Ajoudani
10.1109/LRA.2017.2729666
Conversations between self and self as Sigmund Freud – A virtual body ownership paradigm for self counselling
Journal Articles, Product: MVN Analyze
Sofia Adelaide Osimo, Rodrigo Pizarro, Bernhard Spanlang & Mel Slater
http://dx.doi.org/10.1038/srep13899
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

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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