Affective posture recognition: Human factors and modelling

Abstract

© BCS HCI Group Conference: Engage, HCI 2006.All right reserved. Through technology, it has become increasingly important to create more natural and effective interactive interfaces that are capable of communicating with the user through affective channels to improve user experience. The role of body posture in affect recognition, and the importance of emotion in the development and support of intelligent and social behavior have been widely accepted. Our focus is on creating an affective posture recognition system that incrementally learns to recognize users' affective behaviors, such as posture. This information may then be used to inform another application. Thus far, my research has progressed in three main directions. Towards understanding to what extent culture and gender may be important for recognizing affective states, what aspects of affect should be modelled and how, and the identification of a set of low-level, posture features.