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 Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

This paper presents the Electrooculography (EOG) on human computer interface (HCI) is a novel measurement technique for eye tracking and the recognition for patients Eye movement and blood circulation in the nerves are measured by EOG signal. The EOG signal can be acquired by placing electrodes in the forehead and acquired data is analyzed by using wavelet transform and fuzzy logic. The transformed signal can be decomposed and de-noised. Fuzzy logic is used to separate the clustered signal from false signal. The analyzed signal can be given on the MSP430 controller which is implemented and used to control the electrical devices.

A NOVEL EFFICIENT HUMAN COMPUTER INTERFACE USING AN ELECTROOCULOGRAM