Abstract
This paper proposes a distinguishing method based on Doppler feature analysis and extraction in human gait classification. The author first analyzes the characteristics of human gaits. Then, based on analysis of human Doppler features during walking and running, the paper extracts micro-Doppler parameters that can be used in motion identification. Finally, results are presented according to the classification of human gaits based on a support vector machine (SVM) classifier.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
