FreeGaze: a gaze tracking system for everyday gaze interaction
ETRA '02 Proceedings of the 2002 symposium on Eye tracking research & applications
AI '02 Proceedings of the 15th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
MyLifeBits: a personal database for everything
Communications of the ACM - Personal information management
openEyes: a low-cost head-mounted eye-tracking solution
Proceedings of the 2006 symposium on Eye tracking research & applications
Eye Tracking Methodology: Theory and Practice
Eye Tracking Methodology: Theory and Practice
Wearable EOG goggles: eye-based interaction in everyday environments
CHI '09 Extended Abstracts on Human Factors in Computing Systems
Lifetag: WiFi-based continuous location logging for life pattern analysis
LoCA'07 Proceedings of the 3rd international conference on Location-and context-awareness
SURF: speeded up robust features
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
Homunculus: the vehicle as augmented clothes
Proceedings of the 2nd Augmented Human International Conference
Acquisition of 3D gaze information from eyeball movements using inside-out camera
Proceedings of the 2nd Augmented Human International Conference
Proceedings of the 2nd Augmented Human International Conference
Gaze guided object recognition using a head-mounted eye tracker
Proceedings of the Symposium on Eye Tracking Research and Applications
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
Learning relevance from natural eye movements in pervasive interfaces
Proceedings of the 14th ACM international conference on Multimodal interaction
Conductive rubber electrodes for earphone-based eye gesture input interface
Proceedings of the 2013 International Symposium on Wearable Computers
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Our eyes collect a considerable amount of information when we use them to look at objects. In particular, eye movement allows us to gaze at an object and shows our level of interest in the object. In this research, we propose a method that involves real-time measurement of eye movement for human memory enhancement; the method employs gaze-indexed images captured using a video camera that is attached to the user's glasses. We present a prototype system with an infrared-based corneal limbus tracking method. Although the existing eye tracker systems track eye movement with high accuracy, they are not suitable for daily use because the mobility of these systems is incompatible with a high sampling rate. Our prototype has small phototransistors, infrared LEDs, and a video camera, which make it possible to attach the entire system to the glasses. Additionally, the accuracy of this method is compensated by combining image processing methods and contextual information, such as eye direction, for information extraction. We develop an information extraction system with real-time object recognition in the user's visual attention area by using the prototype of an eye tracker and a head-mounted camera. We apply this system to (1) fast object recognition by using a SURF descriptor that is limited to the gaze area and (2) descriptor matching of a past-images database. Face recognition by using haar-like object features and text logging by using OCR technology is also implemented. The combination of a low-resolution camera and a high-resolution, wide-angle camera is studied for high daily usability. The possibility of gaze-guided computer vision is discussed in this paper, as is the topic of communication by the photo transistor in the eye tracker and the development of a sensor system that has a high transparency.