Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Fast gaze typing with an adjustable dwell time
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Gaze guided object recognition using a head-mounted eye tracker
Proceedings of the Symposium on Eye Tracking Research and Applications
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Existing approaches for object recognition typically rely on images captured on an ordinary digital camera and therefore the recognition task sometimes becomes difficult when the image contains other objects (cluttered) and the object of interest is not clearly indicated. In this work, we integrate a wearable eye tracker into the object recognition system in order to recognize which object the user is paying attention to in the scene camera. To demonstrate the usability of such a gaze based object recognition interface, we developed a prototypical application named Museum Guide 2.0 which can be used in a museum as a mechanical guide for visitors.