12. An emotion recognition method comprising: using a processor, extracting, from input data for emotion recognition, sampling data corresponding to a time period, wherein the input data comprises a facial image of a user, a voice of the user, text input by the user, a temperature of the user, a location of the user, or a kind of an application being used by the user; using the processor, accumulatively segmenting the sampling data based on one or more predetermined time-domain windows to form a plurality of data segments, wherein each of the data segments subsequent to a first data segment, among the plurality of data segments, includes portions of the sampling data from a current sampling time period and all previous sampling time periods; creating, using the processor, a plurality of emotional segments that comprise a plurality of emotions corresponding to each of the respective data segments; and deciding, using the processor, at least two emotional segments of the respective data segments as the user's complex emotion.
14. The emotion recognition method of claim 12 , further comprising calculating a plurality of probability values of a plurality of candidate emotions for each of the respective data segments.