CORDIS Project
Funding breakdown and partner intelligence are Premium
Sign in and upgrade to Premium for EU contribution totals, consortium analytics, OpenAlex research context, and AI summaries. · 0 consortium intelligence fields visible of 1
Start free • Cancel anytime • 14-day refund guarantee
This research develops new algorithms for recognizing and forecasting human actions in 3D using deep learning. By leveraging 3D point cloud data, it aims to improve the accuracy and robustness of action recognition systems in various applications.
Human action recognition and forecasting is an integral part of autonomous robotic systems that require human-robot interaction as well as other engineering problems.
Action recognition is typically achieved using video data and deep learning methods.
However, other tasks, e.g. classification, showed that it is often beneficial to additionally use 3D data.
Namely, 3D point clouds that are sampled on the surfaces of objects and agents in the scene.
Unfortunately, existing human action recognition…
TECHNION RESEARCH AND DEVELOPMENT FOUNDATION LTD
Partner organizations (coordinator is shown above), with normalized type and CORDIS activity type. Guests see up to 4 partners.
Australia, Canberra
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
Similar projects, consortium collaboration history, frequent partners, and OpenAlex research context.
Guests see up to 5 EuroSciVoc fields.
Guests see up to 5 topics.
Guests see up to 5 keywords.