1A1-L10 オンライン学習型マルコフネットワークに基づく机上動作の識別法(人間機械協調)

概要

論文の詳細を見る
Human motion has individual differences in motion trajectories and velocity of parts of the body by age, sex, and physical frame. This sometimes declines action recognition performance when the target subject is changed. In this paper, we propose a method for constructing the action recognition model that fits each person's motion. In the proposed framework, the existing recognition model for some person is modified to fit new person's motion. Only when the label predicted by the existing model is wrong, the model is modified with corrected labels. So, little training data are needed and the recognition model can be constructed more effectively. Empirical result using labeled motion data shows the effectiveness of the proposed framework.
一般社団法人日本機械学会の論文
2007-05-11