Dynamic Facial Emotion Recognition Oriented to HCI Applications

Chapter 7 evaluated the adaptive fusion schemes presented in Chapter 3. This study com- pared scenario-based, soft biometrics-based, facial regions-based, and color facial

The goal of the shape from silhouette using Dempster–Shafer theory (SfSDS) proposed in this work is to achieve the classifica- tion of voxels as occupied or : occupied, like in any

The paper is structured as follows. Section 2 de- scribes the proposed methods for the extraction of the facial soft biometric features. We propose a set of measures following

Although some works have explored fusion of soft and hard biometrics information [20], [22], [32], [39], [41], there are still some unsolved questions that this work will

Understanding how different facial regions from different color spaces are com- bined on a very challenging scenario has some remarkable benefits, for example: i) allowing

In the present work, an experimental framework for the extrac- tion of different facial regions of a face has been presented and used to understand their discrimination power.

Regarding the two facial region extractors, it is inter- esting to see that some regions achieve a better perfor- mance for the extractor based on the proportions (both eyes,

In this section, an adaptive human action recognition method that can be applied to intelligent environments and autonomous robots has been presented. Based on an