Sentence examples for emotion estimation from inspiring English sources

First, we evaluated the relative importance of each LLD in emotion estimation.

In addition, incorporating familiarity information into the process of building an emotion classifier can possibly improve the performance of emotion estimation, which represents yet another avenue for future work.

In the film, there's a moment where we see a screen with a set of bar graphs displaying the values for parameters of the AI's emotion-estimation model.

This work concerns itself with the development of a cognitive architecture for modeling the dynamics of emotions with specific focus on a gray-box model for dynamic emotion intensity estimation that can incorporate findings from appraisal models, specifically Scherer's Component Process Model.

For emotion dimension estimation, we obtained promising results for activation and dominance dimensions.

In this work, both categorical evaluation and emotion primitive estimation were performed.

For emotion dimension estimation, the regression results in terms of correlation coefficient are promising for activation and dominance, with 0.739 and 0.743, respectively.

Support vector regression (ε-SVR) with the radial basis kernel function [42] is used in this paper as it has shown promising results in performing emotion primitives estimation [19].

That is, academic emotions can be identified, by control and value that are estimated by the LLI resources, as distinct from the direct estimation of other mental states including emotions.

We performed classification of four basic emotion classes (neutral, sad, happy, and angry) and estimation of emotion primitives using acoustic features.

In the particular context of speech analysis, we already used the PD for the estimation of glottal model parameters [25],[40] and for emotion valence detection [55].