Computational Models of Emotion Using Graphical Parameters of Pictures. An Emotion Estimation Modeling Approach

      Аннотация: A new computation approach that combines psychology and artificial intelligence is proposed in this book. This new emotional modeling approach is believed to serve the researchers a new base for computation possibilities in modeling emotions and affective interface design. In this new proposed model the existing affective image classification problems are extended toward designing the intelligent emotion estimation models and the feasibility issues related to this task. This book addresses the affects of visual perception in image processing and machine learning perspective, a small but an innovative step in interdisciplinary researches.

Ключевые слова: artificial intelligence, psychology, Artificial Neural Networks, Modelling, Emotions, Computation, affective image classification, intelligent emotional vector deducing engine