Xsens Distance and Displacement Accuracy in Human Motion
Presenter(s)
Julie A Buynacek
Files
Description
The Xsens MVN Awinda tracks human movement with 18 wireless sensors placed in specific places on the body as well as a prop. The system allows for real-time 3D visualization of motion and measures the distance and displacement of tracked motion. It is hypothesized that Xsens data would be most reliable when walking, less reliable when jogging due to greater disturbed motion, and least reliable when using crutches. Disturbed motion is greater movement that could contribute to displacement of the sensor from its original position.
Publication Date
4-24-2019
Project Designation
Independent Research
Primary Advisor
Kim E. Bigelow
Primary Advisor's Department
Mechanical and Aerospace Engineering
Keywords
Stander Symposium project
Recommended Citation
"Xsens Distance and Displacement Accuracy in Human Motion" (2019). Stander Symposium Projects. 1761.
https://ecommons.udayton.edu/stander_posters/1761