In order to obtain users' actual emotional status effectively and promote a harmonious human-computer interaction experience

combined with the AVS emotional space and big five personality theory

this paper proposes an incremental emotion mapping model based on Gauss mixture model. First of all

with three attributes in AVS emotional space (A

V

S) coordinate

the emotional probability value and space distribution is calculated with Gauss mixture model. Secondly

based on differences of individual users

analytic hierarchy method was used to study the relationship between big five personality and emotional attributes

personalized cognitive parameters of the user was obtained

and the realization of emotional mapping results with personalized knowledge were achieved. Then

incremental learning method was applied to get real-time correction of the spatial distribution of emotion type

thus ensuring the high accuracy of emotional classification. Finally

the experimental results show that this method has a high degree of consistency with the real emotional state of the user

and also has good adaptability.