Eye tracking using artificial neural networks for human computer interaction.
| Autor: | Demjén, E. |
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| Další autoři: |
Tomori, Zoltán, 1926-
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| Jazyk: | angličtina |
| Předmět: | |
| Druh dokumentu: | Non-fiction |
| Abstrakt: | Abstract: This paper describes an ongoing project that has the aim to develop a low cost application to replace a computer mouse for people with physical impairment. The application is based on an eye tracking algorithm and assu mes that the camera and the head position are fixed. Color tracking and template matching methods are used for pupil detection. Calibration is provided by neural networks as well as by parametric interpolation methods. Neural networks use back-propagation for learning and bipolar sigmoid function is chosen as the activation function. The user’s eye is scanned with a simple web camera with backlight compensation which is attached to a head fixation device. Neural networks significantly outperform parametric interpolation techniques: 1) the calibration proc edure is faster as they require less calibration marks and 2) cursor control is more precise. The system in its current stage of de velopment is able to distinguish regions at least on the level of desktop icons. The main limitation of the proposed method is the lack of head-pose invariance and its relative sensitivity to illumination (especially to incidental pupil reflections). |
| Databáze: | Katalog Knihovny AV ČR |
| Externí odkaz: |
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