Abstract: It discloses multi-task semi-supervised online sequential extreme learning method for emotion recognition of user, including establishing multiple channels at input layer and hidden layer based on semi-supervised online sequential extreme learning machine, including main-task channel for treating emotion main task, multiple sub-task channels for processing multiple emotion recognition sub-task, establishing multi-task semi-supervised online sequential extreme learning algorithm; establishing multi-layer stack self-coding extreme learning network in each channel; performing facial expression image feature extraction on user's expression, and inputting extracted feature vector to main-task channel and corresponding sub-task channel; connecting each output node and all hidden layers nodes on output layer, calculating output, output node being set to T, T=[t1, t2], t1=1, t2=0, expressing positive emotions, t1=0, t2=1, expressing negative emotions.