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.

Binary Polar Liquids: Structural and Dynamic Characterization Using Spectroscopic Methods provides liquid state physical chemists and physicists with practical theoretical models based on a wealth of robust data that describe the dielectric properties of dipolar materials in a systematic manner. In many applications, reference measurements using dielectric permittivity data are required. Over the past three decades, the author has compiled and analyzed permittivity research data and relaxation times for various polar liquids and their mixtures. The resulting structural data - as determined from various models - is critically evaluated, arming scientists with a complete characterization of the spectra of water-containing mixtures.