ABSTRACT

While Chapter 6 describes the fuzzy approach that intends to address the subjectivity issue of categorical MER, the following three chapters describe approaches that are developed to address the subjectivity issue of dimensional MER. We begin with two intuitive methods proposed in [366] for personalization in this chapter: a personalized MER scheme that trains a personalized model for emotion prediction using a user’s feedback and a groupwise MER scheme that trains a number of groupwise regressors for users possessing different personal factors. Although these two methods have limited performance, they provide useful insights into the subjectivity issue of MER and inspire the development of more effective methods.