With the widespread application of 3D motion capture system

the fact that both sampling frequency and storage for motion database are increasing causes various problems.In this paper

the concept of asynchronous resampling on multi-channel signals is proposed for motion data compression.Theoretical proof on objective and subjective constraint condition of human motion is provided

which contributes to asynchronous sampling for reducing redundancy in order to get higher compression ratio than synchronous sampling based methods.By means of cubic spline function an adaptive asynchronous resampling is achieved for 3d motion data compression.Extensive experiments on motion data show that the proposed algorithm accomplishes high compression ratio at different motion stage

among which the highest one reaches 13.24.Moreover

when the error is 0.5 cm per marker the pose can be reconstructed without visual defects.