A continuous wave (CW) radar has been used for the detection and classification of people based on the Doppler signatures they produce when walking. When humans walk, the motion of various components of the body including the torso, arms, and legs produce a very characteristic Doppler signature. Fourier transform techniques were used to analyze these signatures and key features were identified that are very representative of the human walking motion. Data was collected on a number of human subjects and a simple classifier was developed to recognize people walking. The results of this study could have a wide range of security and perimeter protection applications involving the use of low-cost CW radars as remote sensors.
Proceedings of SPIE – SPIE
Published: May 25, 2005
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.
Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera