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

Most of the methods for inferring distraction while driving are based on visual characteristics of head posture, since it is a strong indicator of distraction while driving. This paper proposes the use of mounted inertial sensors on intelligent lenses. Hence, data was collected from five participants and experiments were conducted to evaluate the feasibility of using support vector machines (SVM) to generate models of drivers to infer the point of attention. Results show an acceptable performance of the SVM to identify specific positions of the car cabin on which drivers focus their attention. Until now, an average accuracy of 83.42% has been achieved.

Máquinas de soporte vectorial para inferir el punto de atención de automovilistas vistiendo lentes inteligentes