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

Understanding and recognizing team actions executed by embodied agents (e.g., robots, agents, humans) has applications in team sports [2], surveillance [1], and training. Many team actions can be described by the individual team member's movement patterns; moreover, by understanding the internal structure of the team action, we can predict the next actions of the individual members, as well as whether they are executing the action correctly or not.

A system for monitoring and interpreting team actions of embodied agents