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Research

 

Xsens research

To further push 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:
RunnerAssist
RunnerAssist is a project is funded by European Union within the European fund for regional development (EFRO). RunnerAssist was launched in 2017 and has a duration of 3 years with a total budget of 2.4M euro of which 960K euro funding is provided by the EU. The project aims at developing a wearable measurement system to monitor running technique and to provide feedback to the runner during and after the activity with the goal to increase performance and reduce injuries. Compared to other available systems, RunnerAssist distinguishes itself through the personal approach by extracting and providing feedback based on individual runner data and personalized parameters. The consortium consists of Roessingh Research and Development BV, Sensorun BV, Trimm BV, and Xsens BV, supported by Demcon Advanced Mechatronics. Project website: www.runnerassist.com
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/

Published Papers

An overview of published papers using Xsens technology:

 

On the Effect of Stabilization Methods for Quaternion Invariants on the Uncertainty in Optimization-based Estimation
Journal Articles, Product: MTi
Fabian Girrbach, Jeroen D. Hol, Raymond Zandbergen, Robin Verschueren, Giovanni Bellusci, Moritz Diehl
DOI: 10.1016/j.ifacol.2018.11.091
Kinematics and shock attenuation during a prolonged run on the athletic track as measured with inertial magnetic measurement units
Journal Articles, Product: MVN Analyze
Jasper Reenalda, Erik Maartens, Jaap H. Buurke, Allison H. Gruber
DOI: 10.1016/j.gaitpost.2018.11.020
Application of Wearable Inertial Sensors and A New Test Battery for Distinguishing Retrospective Fallers from Non-fallers among Community-dwelling Older People
Journal Articles, Product: MTw
Hai Qiu, Rana Zia Ur Rehman, Xiaoqun Yu & Shuping Xiong
DOI:...
Inertial Measurement Units for Clinical Movement Analysis: Reliability and Concurrent Validity
Journal Articles, Product: MVN Analyze
Mohammad Al-Amri, Kevin Nicholas, Kate Button, Valerie Sparkes, Liba Sheeran & Jennifer L. Davies
DOI:...
Kinetic Gait Analysis Using Inertial Motion Capture: New Tools for Knee Osteoarthritis
Journal Articles, Product: MVN Analyze
Angelos Karatsidis
DOI:...
Elbow joint kinematics during cricket bowling using magneto-inertial sensors: A feasibility study
Journal Articles, Product: MTw
Denny Wells, Jacqueline Alderson, Valentina Camomilla, Cyril Donnelly,Bruce Elliott & Andrea Cereatti
Journal...

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Theses

Kinetic Gait Analysis Using Inertial Motion Capture: New Tools for Knee Osteoarthritis
Angelos Karatsidis
PhD Thesis, September 2018 University of Twente
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
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