TOWARD A REVERSE COMIC STRIP BASED APPROACH TO ANALYSE HUMAN KNOWLEDGE

This paper presents an original prospective approach to analyze human knowledge based on the reverse comic strip concept. The approach consists in building a comic strip related to the on-line facial and voice characteristics of human operators and in identifying their possible associated lack of knowledge or doubt on knowledge. A facial recognition system leads to create an emotion image and a voice recognition system leads to capture and translate voice into sound variation image. Both emotion and sound variation images are used as a dynamic reverse comic strip. A practical example related to the possible interpretation of railway signaling pictures is treated in terms of emotion and sound to identify possible lack of knowledge or doubt on knowledge. Copyright © 2013 IFAC