User interface

摘要

A gaze tracker for a multimodal user interface uses a standard videoconferencing set on a workstation to determine where a user is looking on a screen. The gaze tracker uses the video camera (100) to make a quantised image of the user's eye. The pupil is detected in the quantised image and a neural net (125) is used in training the gaze tracker to detect gaze direction. A pre-processor (115) may be used to improve the input to the neural net. A Bayesian net (140) is used to learn the relationship between response time and accuracy for the output of the neural net so that a user's externally set preference can be accommodated.