1. Eye-tracking architecture for biometrics and remote monitoring
- Author
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Steve P. Monacos, James L. Lambert, Ashit Talukder, Clayton LeBaw, J. M. Morookian, and Raymond K. Lam
- Subjects
Biometry ,genetic structures ,Biometrics ,Eye Movements ,Computer science ,Materials Science (miscellaneous) ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,Video Recording ,Video camera ,Image processing ,Eye ,Sensitivity and Specificity ,Industrial and Manufacturing Engineering ,Pupil ,law.invention ,Optics ,law ,Digital image processing ,Image Interpretation, Computer-Assisted ,Photography ,Humans ,Computer vision ,Diagnosis, Computer-Assisted ,Business and International Management ,Hardware architecture ,business.industry ,Ophthalmoscopes ,Eye movement ,Reproducibility of Results ,Equipment Design ,Gaze ,Equipment Failure Analysis ,Ophthalmoscopy ,Light intensity ,Eye tracking ,Feasibility Studies ,Artificial intelligence ,business ,Algorithms - Abstract
Eye tracking is one of the latest technologies that has shown potential in several areas, including biometrics; human–computer interactions for people with and without disabilities; and noninvasive monitoring, detection, and even diagnosis of physiological and neurological problems in individuals. Current noninvasive eye-tracking methods achieve a 30-Hz rate with a low accuracy in gaze estimation, which is insufficient for many applications. We propose a new noninvasive optical eye-tracking system that is capable of operating at speeds as high as 6–12 kHz. A new CCD video camera and hardware architecture are used, and a novel fast algorithm leverages specific features of the input CCD camera to yield a real-time eye-tracking system. A field-programmable gate array is used to control the CCD camera and to execute the operations. Initial results show the excellent performance of our system under severe head-motion and low-contrast conditions.
- Published
- 2005