The present invention discloses a serial-parallel combined multi-mode emotion information fusion and identification method belonging to the emotion identification technology field. The method mainly comprises obtaining an emotion signal; pre-processing the emotion signal; extracting an emotion characteristic parameter; and fusing and identifying the characteristic parameter. According to the present invention, firstly, the extracted voice signal and facial expression signal characteristic parameters are fused to obtain a serial characteristic vector set, then M parallel training sample sets are obtained by the sampling with putback, and sub-classifiers are obtained by the Adabost algorithm training, and then difference of every two classifiers is measured by a dual error difference selection strategy, and finally, vote is carried out by utilizing the majority vote principle, thereby obtaining a final identification result, and identifying the five human basic emotions of pleasure, anger, surprise, sadness and fear. The method completely gives play to the advantage of the decision-making level fusion and the characteristic level fusion, and enables the fusion process of the whole emotion information to be closer to the human emotion identification, thereby improving the emotion identification accuracy.