Friday, April 18
101 Yost Hall
Talk: 4:00 -- 5:00 p.m.
Refreshments: 3:30 -- 4:00 p.m. in 327
Yost
Motion capture technology can be used to collect data on human
motion. Using a database of thousands motions, consisting of the
trajectories of the joints, for a variety of standing individuals of
various anthropometries performing lifting tasks to a range of
targets, we show how to build a regression model for predicting these
motions. The statistical interest lies in the novelty of the data
where the regression responses are multivariate functions describing
the orientation of the body segments or curves in 3D. These elements
must be coherently combined to predict the motion of an individual
with any anthropometry to precisely place an object on a target. An
application to Ergonomics will be demonstrated.