The majority of studies developed to recognize human emotions are limited to a single modality, namely, facial expressions or speech. This book introduced a multimodal approach to improve the accuracy of the emotion recognition by combining audio and visual data. Furthermore, a CNN model has been proposed to automatically extract facial features that uniquely differentiate facial expressions, and this method has been applied to recognize the cognitive states of learners in E-learning environments, and the learners' facial expressions are mapped to cognitive states such as boredom, confusion,...

Die meisten Studien, die zur Erkennung menschlicher Emotionen entwickelt wurden, beschränken sich auf eine einzige Modalität, nämlich Mimik oder Sprache. In diesem Buch wird ein multimodaler Ansatz zur Verbesserung der Genauigkeit der Emotionserkennung durch die Kombination von Audio- und visuellen Daten vorgestellt. Darüber hinaus wurde ein CNN-Modell vorgeschlagen, um automatisch Gesichtsmerkmale zu extrahieren, die Gesichtsausdrücke eindeutig unterscheiden, und diese Methode wurde angewandt, um die kognitiven Zustände von Lernenden in E-Learning-Umgebungen zu erkennen, und die...

In the design and development of the novel reliable and efficient security features for the secure cloud access, various schemes were proposed based on the real-time data collected from the authenticated reliable sources. The research was majorly focused on the security issues in private cloud, where an important security threats and mitigation measures were presented and suggested that private cloud security is at risk. It is understood that, the usage of multi-level biometric samples for the secure access will yields the best results in data leaks. To accomplish the authentication...