Xsens motion capture solution including the proprietary MVN Analyze software. MVN Analyze is a Full-body human measurement system based on inertial sensors, biomechanical models, and sensor fusion algorithms. Easy to use, short setup time and instant validated data output. The system can be used anywhere.
The Xsens MVN system is the number one choice for measuring 3D human kinematics anywhere, under any circumstance. Xsens tailored both hardware and software of the Xsens MVN systems to ensure real-time, reliable and accurate human motion analysis. Xsens’ tiny motion trackers are able to capture the smallest twitches to high dynamic movements on-body ensuring full 3D motion analysis. Dedicated signal pipelines take care of real-time and robust data connections. The proven MVN Analyze biomechanical model and sensor fusion algorithms ensure the highest quality motion analysis, even in challenging magnetically disturbed environments.
Xsens MVN Analyze Highlights
Ease of use
Accurate real-time data. Effortlessly
Robust and reliable
MVN Analyze is our proprietary software package optimized for use in research, sports science, ergonomics and rehabilitation. Delivering validated data in heavily magnetically distorted environments.
Integration options available for:
MVN Analyze features
MVN Analyze includes
The Xsens MVN product line has two hardware configurations (MVN Link and MVN Awinda). Both configurations are wireless and consist of 17 motion trackers for full-body human motion measurements and are easy to transport.
Completely wireless, extremely lightweight. Ideal for subject interchangeability.
MVN Awinda includes
MVN Awinda features
High update rate. Ideal for high dynamic movement tracking.
MVN Link includes
MVN Link features
MVN Analyze rowing
MVN Analyze ski jump
MVN Analyze tennis
Concurrent validation of Xsens MVN measurement of lower limb joint angular kinematics
Author: Zhang J-T, Novak AC, Brouwer B and Li Q
Journal: Physiol. Meas. 2013: 34(8): N63-N69 doi:10.1088/0967-3334/34/8/N63
Intra-individual movement variability during skill transitions: A useful marker?
Author: Carson H.J., Collins D. & Richards J.
Journal: Eur J Sport Sci. 2013 Jul 10
Biomechanical differences between experienced and inexperienced wheelchair users during sport
Author: Starrs P, Chohan A, Fewtrell D, Richards J, Selfe J
Journal: Prosthet Orthot Int 2012; 36(3): 324-31