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:
AWESCO
Awesco_logo
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/
KNEEMO
KNEEMO
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: www.kneemo.eu

Published Papers

An overview of published papers using Xsens technology:

 

A PCA-based bio-motion generatorto synthesize new patterns of humanrunning
Journal Articles, Product: MVN BIOMECH
José María Baydal-Bertomeu, Juan Vicente Durá-Gil, Ana Piérola-Orcero, Eduardo Parrilla Bernabé, Alfredo Ballester and Sandra Alemany-Munt
DOI...
Estimation of Full-Body Poses Using Only Five Inertial Sensors: An Eager or Lazy Learning Approach?
Journal Articles, Product: MTw, MVN
Frank J. Wouda, Matteo Giuberti, Giovanni Bellusci and Peter H. Veltink
Sensors...
The Use of Wireless Instrumentation for Stability Testing
Journal Articles, Product: MTw
Henry Boger and Cleo Clency
Bioengineer...
Analysis of Balance during Functional Walking in Stroke Survivors
Journal Articles, Product:
Fokke B. van Meulen, Dirk Weenk, Edwin H. F. van Asseldonk, H. Martin Schepers, Peter H. Veltink, Jaap H. Buurke
PLoS...
Real-time Physics-based Motion Capture with Sparse Sensors
Journal Articles, Product: MTw
Sheldon Andrews, Ivan Huerta, Taku Komura, Leonid Sigal, Kenny Mitchell
London,...
IRIDiuM: Immersive Rendered Interactive Deep Media
Journal Articles, Product: MTw
Babis Koniaris, Ivan Huerta, Maggie Kosek, Karen Darragh, Charles Malleson Joanna Jamrozy, Nick Swafford, Jose Guitian, Bochang Moon, Ali Israr, Kenny Mitchell
Anaheim,...

View all Papers

Theses

grzonkaphd
Mapping, State Estimation, and Navigation for Quadrotors and Human-Worn Sensor Systems
Slawomir Grzonka
PhD Thesis, September 2011 University of Freiburg
josien_thesiscover
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
thesis_jhol
Sensor Fusion and Calibration of Inertial Sensors, Vision, Ultra-Wideband and GPS
J.D. Hol
PhD Thesis, June 2011 Linköping University
View all theses


X

Xsens newsletter

Signup today to stay updated on all major Xsens news and developments. Subscribe now