Disclosed are an emotion information recognition method and apparatus, and a storage medium and a computer device, which relate to the technical field of artificial intelligence, and aim to respectively process a human body posture and facial expression, which have been obtained, into a posture matrix and emotion vector information, and to simultaneously process, by means of a pre-trained emotion intensity recognition model, the posture matrix and the vector information to obtain emotion intensity data and correspondingly recognize an emotion type, thereby improving the accuracy and efficiency of emotion information recognition. The method comprises: receiving an emotion information recognition request, wherein the emotion information recognition request carries human body posture information; transforming the human body posture information into a posture matrix including posture feature points by using a preset posture transformation algorithm; processing the posture matrix according to a preset emotion intensity algorithm, so as to obtain emotion intensity data; and retrieving and feeding back a corresponding emotion type according to the emotion intensity data. In addition, the present application further relates to blockchain technology, and the emotion intensity data may be stored in a blockchain.
EMOTION INFORMATION RECOGNITION METHOD AND APPARATUS, AND STORAGE MEDIUM AND COMPUTER DEVICE