Webinar on "Inverse Kinematics: A Bayesian Versus Least-Squares Approach"
Join Our Next Webinar "Inverse Kinematics: A Bayesian Versus Least-Squares Approach" Monday, July 20, 2020 at 4:00pm PDT We invite you to join us for a webinar featuring Todd Pataky from Kyoto University. In this webinar, Dr. Pataky will introduce you to Bayesian statistics and demonstrate how it can be used for estimating joint kinematics from a set of noisy marker measurements, a process commonly referred to as inverse kinematics. He will compare the Bayesian approach to the least-squares approach which is traditionally used in inverse kinematics. Learn more and register<https://stanford.webex.com/mw3300/mywebex/default.do?nomenu=true&siteurl=stanford&service=6&rnd=0.2824091928358231&main_url=https%3A%2F%2Fstanford.webex.com%2Fec3300%2Feventcenter%2Fevent%2FeventAction.do%3FtheAction%3Ddetail%26%26%26EMK%3D4832534b00000004f80dcf61612e1582c52dbce7553a5c3f5a2f06b2cb94cde5a5b06fda9426564f%26siteurl%3Dstanford%26confViewID%3D164786178477796242%26encryptTicket%3DSDJTSwAAAARbT1Un2uJA5NnGBZ31b8JqWqBcCoWHGG2_6vlINrHhYA2%26> --- Joy P. Ku, PhD Project Manager, SimTK<http://simtk.org/> Director of Communications & Training, NCSRR<http://opensim.stanford.edu/> Director of Communications & Engagement, Mobilize Center<http://mobilize.stanford.edu/> Stanford University (w) 650.736.8434 Email: joyku@stanford.edu<mailto:joyku@stanford.edu>
participants (1)
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Joy P. Ku