English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

The Vision Assistant is designed as an intelligent tool to assist people with different disabilities. The goal of this project is to replace the mouse and keyboard by an adaptive eye-tracker system (so called mouseless cursor) which will help to establish a universal and easy-to-use human-computer interface. Using a camera, it works with a pattern recognition algorithm based on a Hough-transform core to process the streaming image sequences. This technique is known for its performance in locating given shapes. In particular, it is used to extract the shapes that relate to the human eye and analyze them in real-time with the purpose of getting the position of an eye in an incoming image and interpreting it as the reference position of a mouse cursor on the user's monitor. The possibility of the Hough transform parallelization and its execution on the Hubel-Wiesel Neural Network for ultra fast eye-tracking is also discussed in this paper. The results of several experiment s in this paper proved that the system performs quite well with different colours of the subjects' eyes as well as under different lighting conditions. In the conclusion we paid attention to the problems of further improvement of the functional and algorithmic parts of the Vision Assistant

Vision assistant: a human–computer interface based on adaptive eye-tracking