Human motion open-set identification method based on radar image and generation countermeasure model
A technology of human body movement and radar images, applied in the fields of biometric feature recognition, character and pattern recognition, biological neural network model, etc., can solve the problems of poor usability and lack of robustness, and achieve strong capture ability and low algorithm complexity , to avoid the effect of being susceptible to environmental influences
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Example Embodiment
[0050] In order to solve the above problems, the present invention proposes an open set recognition method of human body movements based on radar images and generating confrontation models. When performing human body motion recognition, the present invention uses radar micro-Doppler images to reflect the characteristics of human body movements. At the same time, the discriminator in the generative confrontation model is used as the open set recognizer to directly distinguish the known or unknown action category of the input image and output its category information to realize the end-to-end open set recognition of human actions.
[0051] In order to achieve the above objective, a method for open set recognition of human actions based on radar images and a generated confrontation model includes the following steps:
[0052] Step 1: Use the ultra-wideband radar module to send and receive the human body echo signal. After the data is collected, the data is preprocessed, and the echo si...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap