Classification of human actions using face and hands detection
Proceedings of the 12th annual ACM international conference on Multimedia
Combining head tracking and mouse input for a GUI on multiple monitors
CHI '05 Extended Abstracts on Human Factors in Computing Systems
Proceedings of the 11th international conference on Intelligent user interfaces
A method, system, and tools for intelligent interruption management
TAMODIA '05 Proceedings of the 4th international workshop on Task models and diagrams
Neural network-based head pose estimation and multi-view fusion
CLEAR'06 Proceedings of the 1st international evaluation conference on Classification of events, activities and relationships
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
| Hi-index | 0.00 |
In this paper we present a vision-based perceptive interface able to recognize some basic "user states" (presence, absence, head orientation and phoning). This recognition module can be used to implement attentive interfaces acting differently according to user behaviour. To efficiently work in real-time, the system exploits skin-colour detection, reliably identifying face and hands within captured frames. Colour-based techniques, however, have the problem of requiring precise calibration, which is usually a tedious and delicate task. We therefore propose a (semi-)automatic calibration procedure which frees the user from such a charge, totally or, if necessary, via a guided wizard. Our experiments demonstrate that this solution works well and greatly improves the propensity of users to employ a vision-based perceptive interface.