13. A virtual inputting method, comprising: collecting bioelectrical signals and acceleration signals reflecting a user's gesture; performing preprocessing for the collected bioelectrical signals and the collected acceleration signals; performing segmentation processing for the preprocessed bioelectrical signals and the preprocessed acceleration signals so as to obtain a plurality of gesture segments; extracting feature values from the bioelectrical signals and the acceleration signals for respective gesture segments; combining the extracted feature values to form a combined feature vector; performing gesture recognition based on the combined feature vector; and obtaining characters corresponding to the recognized gesture according to a predetermined mapping relationship between characters and gestures, wherein the segmentation processing comprises: determining starting points and ending points for the preprocessed bioelectrical signals and the preprocessed acceleration signals respectively; and averaging the starting points so as to obtain a starting point of a gesture segment, and averaging the ending points so as to obtain an ending point of the gesture segment.
16. The method of claim 13 , wherein the bioelectrical signals comprise a plurality of myoelectricity signals and a plurality of impedance signals.