Presenter(s)
Ali Almandeel
Files
Download Project (1.3 MB)
Description
Identifying the center of mass location provides a significant aid in controlling the balance of humanoid robots. Additionally, in humans this location is an essential parameter in postural control and is critical in assessing rehabilitation. Anthropometric tables have been complied for this identification but their accuracy is readily questioned. This research presents an estimation technique that uses the statically equivalent serial chain (SESC), a representation of any multilink branched chain whose end-effector locates the center of mass. In order to construct the SESC for center of mass prediction, a Kinect and Wii balance board are used. The Kinect provides joint location information while the Wii balance board provides the center of pressure. The utility of the presented method as compared to other common methods is that the center of pressure, and hence, the Wii balance board, is no longer needed after the SESC is constructed.
Publication Date
4-9-2014
Project Designation
Graduate Research
Primary Advisor
Andrew Murray, David Myszka
Primary Advisor's Department
Design of Innovative Machines Lab
Keywords
Stander Symposium project
Disciplines
Arts and Humanities | Business | Education | Engineering | Life Sciences | Medicine and Health Sciences | Physical Sciences and Mathematics | Social and Behavioral Sciences
Recommended Citation
"Statistically Equivalent Serial Chain Modeling with Kinect and Wii Balance Board" (2014). Stander Symposium Projects. 510.
https://ecommons.udayton.edu/stander_posters/510
Included in
Arts and Humanities Commons, Business Commons, Education Commons, Engineering Commons, Life Sciences Commons, Medicine and Health Sciences Commons, Physical Sciences and Mathematics Commons, Social and Behavioral Sciences Commons
