NATURAL INTERACTION PROTOTYPES BY MEANS OF ENACTIVE
INTERFACES BASED ON VISUAL INPUTS
In this project, our goal is the design and development of real-time robust vision algorithms for user body and face motion recognition for building enactive interfaces. Besides, we plan to make a set of natural interaction prototypes (NIPs) for testing the algorithm’s usability in real cases. Therefore, we could test the possible applications by the final users that would use them.
Project funded by the Ministerio de Ciencia e Innovación, Gobierno de España (TIN2007-67896)
Summary
Enactive interfaces are related to an advance of the multimodal paradigm, a
fundamental “natural interaction” concept which is not yet fully exploited in most of the existing human-computer
interfaces. Enactive knowledge represents the kind of knowledge “learning by doing”, based on
the experience of perceptual responses to action, acquired by demonstration and sharpened by practice.
Even if up to now HCI technologies have not fully exploited the potential of enactive knowledge, recent
technological advances have created the possibility to significantly enhance naturally the interface
perception by means of visual inputs, the so called Vision-Based Interaction (VBI). Computer Vision
technology applied to the human-computer interface has notable success to date. However, its usability
and technological transference stills more research work.
