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 Tools annual

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 monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

With the increasing popularity of human-computer interaction applications,there is also growing interest in generating sufficiently large and diversedata sets for automatic radar-based recognition of hand poses and gestures.Radar simulations are a vital approach to generating training data (e.g., formachine learning). Therefore, this work applies a ray tracing method to radarimaging of the hand. The performance of the proposed simulation approach isverified by a comparison of simulation and measurement data based on an imagingradar with a high lateral resolution. In addition, the surface material modelincorporated into the ray tracer is highlighted in more detail andparameterized for radar hand imaging. Measurements and simulations show a veryhigh similarity between synthetic and real radar image captures. The presentedresults demonstrate that it is possible to generate very realistic simulationsof radar measurement data even for complex radar hand pose imaging systems.

A Realistic Radar Ray Tracing Simulator for Hand Pose Imaging