In this paper, the radar parameters of human body junction including different behavioral physical characteristics are analyzed. The radar parameters of different activities (walking, squatting, sitting and falling) of the target under multiple observation angles are simulated. The radar characteristics of human motion such as Doppler frequency, radial distance, height and pitch angle are analyzed in depth. Finally, the most suitable view angle in the classification of each activity and the radar parameters with the most stable characteristics are further given. The feature extraction method presented in this paper has an explicit physical interpretation and good angular adaptability. Neural networks combined with the proposed feature extraction method can have better interpretation of the activity classification results.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.