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- W2899973934 abstract "One possible enhancement in through-the-wall surveillance (TWS) applications with respect to human subject detection is to extract gait characteristics such as torso speed, and arm and leg swing motions from the micro-Doppler features. These gait characteristics can then be imposed on top of animated human objects for visualization. As a result, the visualization with the animated objects will be more convincing and realistic. This paper summarizes our results in this area. A systematic methodology is presented first, followed by some validation experiments using a human walking simulation model. Finally, experimental data were used to extract gait characteristics." @default.
- W2899973934 created "2018-11-16" @default.
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- W2899973934 date "2018-08-27" @default.
- W2899973934 modified "2023-09-24" @default.
- W2899973934 title "Extracting Gait Characteristics from Micro-Doppler Features" @default.
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- W2899973934 doi "https://doi.org/10.1145/3271553.3271583" @default.
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