A human-centered behavioral informatics

Currently, researchers coming from psychological, computational, and engineering research fields have developed a human-centered behavioral informatics characterized by techniques analyzing and coding human behaviors, conventional and unconventional social conducts, signals coming from audio and video recordings, auditory and visual pathways, neural waves, neurological and cognitive disorders, psychological and personal traits, emotional states, mood disorders. This interweaving of expertise had produced extensive research progresses and unexpected converging interests allowing the groundwork for a book dedicated to pose the current progresses in dynamics of signal exchanges and reporting the latest advances on the synthesis and automatic recognition of human interactional behaviors. Key features considered are the fusion and implementation of automatic processes and algorithms for interpreting, tracking, and synthesizing dynamic signals such as facial expressions, gaits, EEGs, brain and speech waves. The acquisition, analysis, and modeling of such signals is crucial for computational studies devoted to a human-centered behavioral informatics.