13. The method according to claim 12 , characterized in that, said method further comprises: a step of calculating an accurate similarity between the ideal sliding trajectory feature of each word obtained from the rough similarity calculation result and said user-sliding trajectory feature set in said processor.
13. The method according to claim 12 , characterized in that, said method further comprises: a step of calculating an accurate similarity between the ideal sliding trajectory feature of each word obtained from the rough similarity calculation result and said user-sliding trajectory feature set in said processor. 22. The method according to claim 13 , characterized in that, said step of calculating the rough similarity between the ideal sliding trajectory feature of each originally chosen word and said user-sliding trajectory feature set further includes a substep of performing trajectory segmentation on the ideal trajectories of the original chosen words according to said user-sliding trajectory feature set.