AI supporting Innovation ecosystems
Eunika Mercier-Laurent, University Jean Moulin Lyon3, France
Innovation is an integrated part of organizational and business activities. While many just focus on research and development, innovation should be considered in its ecosystems context and generating 5D impact. The innovation process needs multidisciplinary knowledge to succeed. The organization and management of related knowledge influence the speed of innovation and its efficiency. Technology and in particular AI has a great role to play in balancing this ecosystems and lead innovation to success. Some examples will be given.
Perceptual Interfaces for Intelligent Human-Computer Interaction
Computer vision will play an important role in future human-computer interaction (HCI). In order to achieve natural HCI, there is a need for the computer to be able to interact with the user similar to the way human-human interaction takes place. The computer should, for example, detect and identify the user, recognize his or her emotional state, communicate easily by recognizing speech and gestures, and provide a natural response based on its observations. In recent years, we have been investigating various methods needed for intelligent face-to-face interaction. This talk provides an introduction to the vision-based perceptual interfaces, and overviews our recent progress in face recognition and biometrics, recognition of facial expressions and emotions, remote heart rate measurement from videos, recognition of spoken phrases from visual speech, and 3D visual speech animation from video sequences. Results of our research on an experimental system for intelligent human-robot interaction are also demonstrated.