ABSTRACT
This chapter provides a critical survey of research work dealing with broadly affective analysis of Electroencephalography (EEG) signals collected during natural or naturalistic interaction. It focuses on sensors that allow such natural interaction, related technological features, and affective aspects of applications in several application domains. These aspects include an emotion representation approach, the induction method, and stimuli and annotation chosen for the application. In EEG, the electrical activity of the brain is observed through scalp electrodes positioned according to the 10–20 system for most clinical and research applications. The chapter explores EEG studies on mental/emotional state are presented and analyzed according to the induction, annotation, pre-processing, classification and application domains of their data, as well as the combination in with other signals. Studies within the bioinformatics research area, in their effort to be more accurate, combine multiple biological signals as well as information coming from the subject’s face, voice, body movements, and actions on the computer.
