Introduction to EEG- and Speech-Based Emotion Recognition

Introduction to EEG- and Speech-Based Emotion Recognition Methods examines the background, methods, and utility of using electroencephalograms (EEGs) to detect and recognize different emotions. By incorporating these methods in brain-computer interface (BCI), we can achieve more natural, efficient communication between humans and computers. This book discusses how emotional states can be recognized in EEG images, and how this is useful for BCI applications. EEG and speech processing methods are explored, as are the technological basics of how to operate and record EEGs. Finally, the authors include information on EEG-based emotion recognition, classification, and a proposed EEG/speech fusion method for how to most accurately detect emotional states in EEG recordings.

Provides detailed insight on the science of emotion and the brain signals underlying this phenomenonExamines emotions as a multimodal entity, utilizing a bimodal emotion recognition system of EEG and speech dataDetails the implementation of techniques used for acquiring as well as analyzing EEG and speech signals for emotion recognition

1. Introduction to Emotion, Electroencephalography and Speech Processing

2. Technological Basics of EEG Recording and Operation of Apparatus

3. Technical Aspects of Brain Rhythms and Speech Parameters

4. Time and Frequency Analysis

5. Emotion Recognition

6. Multimodal Emotion Recognition

7. Proposed EEG – Speech Based Emotion Recognition System:  A CASE STUDY

8. BCI and its Applications