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Motion trajectory description plays an important role in motion recognition for many robotic tasks. The previous methods are too high in computational cost for real time recognition. In this paper, we propose a novel indexing method for motion trajectories as a high level descriptor for real time 3D motion recognition. Trajectories are segmented into basic segments and represented in segment level...
Motion trajectory description plays an important role in motion recognition for many robotic tasks. The previous methods are too high in computational cost for real time recognition. In this paper, we propose a novel indexing method for motion trajectories as a high level invariant descriptor. Trajectories are segmented into basic segments and represented in segment level rather than point level....
Motion perception and recognition by trajectory are important for motion analysis. A flexible and adaptable descriptor of motion trajectory plays important role in the performance of perception and recognition. Motion trajectories usually use raw data for many tasks, which is not effective. Shape descriptors and signature of differential invariants are good for local features but global feature is...
Motion recognition via trajectory is important in motion analysis for many robotic tasks. A descriptor for motion trajectories plays an important role in the recognition algorithm. Existing invariant descriptors and discrete matching algorithms are not flexible enough under certain circumstances for recognition. In this paper we propose a new descriptor to solve this problem, with a modified data...
A planar 1R2T wire-driven parallel robot was designed with the aim of realizing rehabilitation training. The effects on the system of the wires' motion and the minimal tension force threshold were researched during the moving platform's expected motion. The principle prototype is developed and some related experiments were done. The kinematics equations were established by the influence coefficients,...
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