Surprisingly, learning was not specific to the trained temporal context, probably because observers have learned motion paths of each trajectory independently of the exact temporal order.
The humanoid robot should synthesize motions that are adaptive to the current environment by modifying learned motions.
Take dancing lessons in different styles to learn motions, then mix them together.
We present a novel method for motion segmentation by learning the motion priors from exemplar motions to guide the segmentation.
Experiment 2 tests these competing possibilities by examining whether learning transfers to learned motion played backward in time.
Poincaré already suggested that an isotropic and homogeneous representation for space can emerge out of non-Euclidean perceptual spaces, as one can move through physical space by learning the motion group (Poincaré, 1913).
The approach is validated in a 2d task of learning handwriting motions, a periodic polishing motion and in a manipulation task with the 7 degrees of freedom Barrett WAM manipulator.
Learning typical motion patterns from video scenes is important in automatic visual surveillance.
It has two characteristics: the operator keeps the control initiative, and it does not disturb the operator learning the motion.
After learning the motion language module and the natural language module using the training dataset as shown by Table 1, the proposed framework was tested on 100 different full-body motions of human.
